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"readme_excerpt": "<div align=\"center\">\n\n<p align=\"center\"><img src=\"assets/figs/logo/logo.png\" alt=\"DeepTutor logo\" height=\"56\" style=\"vertical-align: middle;\"> <img src=\"assets/figs/logo/banner.png\" alt=\"DeepTutor\" height=\"48\" style=\"vertical-align: middle;\"></p>\n\n# DeepTutor: Lifelong Personalized Tutoring\n\n<p align=\"center\">\n <a href=\"https://deeptutor.info\" target=\"_blank\"><img alt=\"Docs \u2014 deeptutor.info\" src=\"https://img.shields.io/badge/Docs-deeptutor.info%20%E2%86%97-0A0A0A?style=for-the-badge&labelColor=F5F5F4\" height=\"36\"></a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://trendshift.io/repositories/17099?utm_source=repository-badge&utm_medium=badge&utm_campaign=badge-repository-17099\" target=\"_blank\" rel=\"noopener noreferrer\"><img src=\"https://trendshift.io/api/badge/repositories/17099\" alt=\"HKUDS%2FDeepTutor | Trendshift\" width=\"250\" height=\"55\"/></a> \n <a href=\"https://trendshift.io/repositories/17099?utm_source=trendshift-badge&utm_medium=badge&utm_campaign=badge-trendshift-17099\" target=\"_blank\" rel=\"noopener noreferrer\"><img src=\"https://trendshift.io/api/badge/trendshift/repositories/17099/daily\" alt=\"HKUDS%2FDeepTutor | Trendshift\" width=\"250\" height=\"55\"/></a> \n <a href=\"https://trendshift.io/repositories/17099?utm_source=trendshift-badge&utm_medium=badge&utm_campaign=badge-trendshift-17099\" target=\"_blank\" rel=\"noopener noreferrer\"><img src=\"https://trendshift.io/api/badge/trendshift/repositories/17099/weekly?language=Python\" alt=\"HKUDS%2FDeepTutor | Trendshift\" width=\"250\" height=\"55\"/></a>\n</p>\n\n<p align=\"center\">\n <a href=\"README.md\"><img alt=\"English\" height=\"40\" src=\"https://img.shields.io/badge/English-BCDCF7\"></a> \n <a href=\"assets/README/README_CN.md\"><img alt=\"\u7b80\u4f53\u4e2d\u6587\" height=\"40\" src=\"https://img.shields.io/badge/\u7b80\u4f53\u4e2d\u6587-CDCFD4\"></a> \n <a href=\"assets/README/README_JA.md\"><img alt=\"\u65e5\u672c\u8a9e\" height=\"40\" src=\"https://img.shields.io/badge/\u65e5\u672c\u8a9e-CDCFD4\"></a> \n <a href=\"assets/README/README_ES.md\"><img alt=\"Espa\u00f1ol",
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"StarTrail-org/PixelRAG": {
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"description": "The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/",
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"rag",
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"homepage": "https://arxiv.org/pdf/2606.28344",
"starred_at": "2026-07-10T20:02:21+00:00",
"readme_excerpt": "<p align=\"center\">\n <img src=\"docs/assets/banner.png\" alt=\"PixelRAG \u2014 Visual Retrieval-Augmented Generation\" width=\"100%\">\n</p>\n<p align=\"center\">\n Official codebase for <b><a href=\"https://arxiv.org/abs/2606.28344\">PIXELRAG: Web Screenshots Beat Text for\nRetrieval-Augmented Generation</a></b>\n</p>\n<p align=\"center\">\n <a href=\"https://yichuan-w.github.io/\">Yichuan Wang</a>*,\n <a href=\"https://zhifei.li/\">Zhifei Li</a>*,\n <a href=\"https://zwcolin.github.io/\">Zirui Wang</a>,\n <a href=\"https://www.linkedin.com/in/paul-teiletche/\">Paul Teiletche</a>,\n <a href=\"https://www.linkedin.com/in/lesheng-jin-9618b0201/\">Lesheng Jin</a>\n <br>\n <a href=\"https://people.eecs.berkeley.edu/~matei/\">Matei Zaharia</a>\u2020,\n <a href=\"https://people.eecs.berkeley.edu/~jegonzal/\">Joseph E. Gonzalez</a>\u2020,\n <a href=\"https://www.sewonmin.com/\">Sewon Min</a>\u2020\n</p>\n<p align=\"center\"><sub>* Equal contribution \u2020 Equal advising</sub><br><sub>Work done at <a href=\"https://sky.cs.berkeley.edu/\">Berkeley SkyLab</a> & <a href=\"https://bair.berkeley.edu/\">BAIR</a> & <a href=\"https://nlp.cs.berkeley.edu/\">Berkeley NLP</a></sub></p>\n<p align=\"center\">Search any document by how it <em>looks</em>, not just the text it contains.</p>\n\n<p align=\"center\">\n <a href=\"https://github.com/StarTrail-org/PixelRAG/actions/workflows/ci.yml\"><img src=\"https://github.com/StarTrail-org/PixelRAG/actions/workflows/ci.yml/badge.svg\" alt=\"CI\"></a>\n <a href=\"https://pixelrag.ai\"><img src=\"https://img.shields.io/badge/demo-pixelrag.ai-7c3aed\" alt=\"Live demo\"></a>\n <a href=\"https://status.pixelrag.ai\"><img src=\"https://img.shields.io/badge/status-live-22c55e\" alt=\"Status\"></a>\n <a href=\"https://join.slack.com/t/leann-e2u9779/shared_invite/zt-3ol2ww9ic-Eg_kB8omwe6xmYVd0epr4Q\"><img src=\"https://img.shields.io/badge/Slack-join-4A154B?logo=slack&logoColor=white\" alt=\"Slack\"></a>\n <img src=\"https://img.shields.io/badge/license-Apache--2.0-blue\" alt=\"License\">\n</p>\n\n<p align=\"center\">\n <a href=\"#what-it-is",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"Fission-AI/OpenSpec": {
"full_name": "Fission-AI/OpenSpec",
"name": "OpenSpec",
"owner": "Fission-AI",
"description": "Spec-driven development (SDD) for AI coding assistants.",
"language": "TypeScript",
"topics": [
"ai",
"context-engineering",
"engineering",
"planning",
"prd",
"sdd",
"sdlc",
"spec",
"spec-driven-development",
"specification"
],
"stars": 63432,
"forks": 4389,
"url": "https://github.com/Fission-AI/OpenSpec",
"homepage": "https://openspec.dev/",
"starred_at": "2026-07-10T19:33:43+00:00",
"readme_excerpt": "<p align=\"center\">\n <a href=\"https://github.com/Fission-AI/OpenSpec\">\n <picture>\n <source srcset=\"assets/openspec_bg.png\">\n <img src=\"assets/openspec_bg.png\" alt=\"OpenSpec logo\">\n </picture>\n </a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://github.com/Fission-AI/OpenSpec/actions/workflows/ci.yml\"><img alt=\"CI\" src=\"https://github.com/Fission-AI/OpenSpec/actions/workflows/ci.yml/badge.svg\" /></a>\n <a href=\"https://www.npmjs.com/package/@fission-ai/openspec\"><img alt=\"npm version\" src=\"https://img.shields.io/npm/v/@fission-ai/openspec?style=flat-square\" /></a>\n <a href=\"./LICENSE\"><img alt=\"License: MIT\" src=\"https://img.shields.io/badge/License-MIT-blue.svg?style=flat-square\" /></a>\n <a href=\"https://discord.gg/YctCnvvshC\"><img alt=\"Discord\" src=\"https://img.shields.io/discord/1411657095639601154?style=flat-square&logo=discord&logoColor=white&label=Discord&suffix=%20online\" /></a>\n</p>\n\n<details>\n<summary><strong>The most loved spec framework.</strong></summary>\n\n[](https://github.com/Fission-AI/OpenSpec/stargazers)\n[](https://www.npmjs.com/package/@fission-ai/openspec)\n[](https://github.com/Fission-AI/OpenSpec/graphs/contributors)\n\n</details>\n<p></p>\nOur philosophy:\n\n```text\n\u2192 fluid not rigid\n\u2192 iterative not waterfall\n\u2192 easy not complex\n\u2192 built for brownfield not just greenfield\n\u2192 scalable from personal projects to enterprises\n```\n\n> [!TIP]\n> **New workflow now available!** We've rebuilt OpenSpec with a new artifact-guided workflow.\n>\n> Run `/opsx:propose \"your idea\"` to get started. \u2192 [Learn more here](docs/opsx.md)\n\n<p align=\"center\">\n Follow <a href=\"https://x.com/0xTab\">@0xTab on X</a> for updates \u00b7 Join the <a href=\"https://discord.g",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"567-labs/instructor": {
"full_name": "567-labs/instructor",
"name": "instructor",
"owner": "567-labs",
"description": "structured outputs for llms ",
"language": "Python",
"topics": [
"openai",
"openai-function-calli",
"openai-functions",
"pydantic-v2",
"python",
"validation"
],
"stars": 13664,
"forks": 1177,
"url": "https://github.com/567-labs/instructor",
"homepage": "https://python.useinstructor.com/",
"starred_at": "2026-06-27T18:14:36+00:00",
"readme_excerpt": "# Instructor: Structured Outputs for LLMs\n\nGet reliable JSON from any LLM. Built on Pydantic for validation, type safety, and IDE support.\n\n```python\nimport instructor\nfrom pydantic import BaseModel\n\n\n# Define what you want\nclass User(BaseModel):\n name: str\n age: int\n\n\n# Extract it from natural language\nclient = instructor.from_provider(\"openai/gpt-4o-mini\")\nuser = client.chat.completions.create(\n response_model=User,\n messages=[{\"role\": \"user\", \"content\": \"John is 25 years old\"}],\n)\n\nprint(user) # User(name='John', age=25)\n```\n\n**That's it.** No JSON parsing, no error handling, no retries. Just define a model and get structured data.\n\n[](https://pypi.org/project/instructor/)\n[](https://pypi.org/project/instructor/)\n[](https://github.com/567-labs/instructor)\n[](https://discord.gg/bD9YE9JArw)\n[](https://twitter.com/jxnlco)\n\n> **Use Instructor for fast extraction, reach for PydanticAI when you need agents.** Instructor keeps schema-first flows simple and cheap. If your app needs richer agent runs, built-in observability, or shareable traces, try [PydanticAI](https://ai.pydantic.dev/). PydanticAI is the official agent runtime from the Pydantic team, adding typed tools, replayable datasets, evals, and production dashboards while using the same Pydantic models. Dive into the [PydanticAI docs](https://ai.pydantic.dev/) to see how it extends Instructor-style workflows.\n\n## Why Instructor?\n\nGetting structured data from LLMs is hard. You need to:\n\n1. Write complex JSON schemas\n2. Handle validation errors \n3. Retry failed extractions\n4. Parse unstructured responses\n5. Deal with differe",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"BerriAI/litellm": {
"full_name": "BerriAI/litellm",
"name": "litellm",
"owner": "BerriAI",
"description": "The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]",
"language": "Python",
"topics": [
"ai-gateway",
"anthropic",
"azure-openai",
"bedrock",
"gateway",
"langchain",
"litellm",
"llm",
"llm-gateway",
"llmops",
"mcp-gateway",
"openai",
"openai-proxy",
"rust",
"rust-ai",
"vertex-ai"
],
"stars": 55307,
"forks": 10258,
"url": "https://github.com/BerriAI/litellm",
"homepage": "https://docs.litellm.ai/docs/",
"starred_at": "2026-06-27T18:13:57+00:00",
"readme_excerpt": "<h1 align=\"center\">\n \ud83d\ude85 LiteLLM\n </h1>\n <p align=\"center\">\n <p align=\"center\">LiteLLM AI Gateway\n </p>\n <p align=\"center\">Open Source AI Gateway for 100+ LLMs. Self-hosted. Enterprise-ready. Call any LLM in OpenAI format.</p>\n <p align=\"center\">\n <a href=\"https://render.com/deploy?repo=https://github.com/BerriAI/litellm\" target=\"_blank\" rel=\"nofollow\"><img src=\"https://render.com/images/deploy-to-render-button.svg\" alt=\"Deploy to Render\" height=\"40\"></a>\n <a href=\"https://railway.com/deploy/RhvhdC?referralCode=7mRv9K&utm_medium=integration&utm_source=template&utm_campaign=generic\"><img src=\"https://railway.com/button.svg\" alt=\"Deploy on Railway\" height=\"40\"></a>\n <a href=\"https://console.aws.amazon.com/cloudshell/home\" target=\"_blank\" rel=\"nofollow\"><img src=\"./.github/deploy-on-aws.png\" alt=\"Deploy on AWS\" height=\"40\"></a>\n <a href=\"https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Flitellm&cloudshell_workspace=terraform%2Flitellm%2Fgcp%2Fexamples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true\" target=\"_blank\" rel=\"nofollow\"><img src=\"./.github/deploy-on-gcp.png\" alt=\"Deploy on GCP\" height=\"40\"></a>\n </p>\n </p>\n<h4 align=\"center\"><a href=\"https://docs.litellm.ai/docs/simple_proxy\" target=\"_blank\">LiteLLM Proxy Server (AI Gateway)</a> | <a href=\"https://docs.litellm.ai/docs/enterprise#hosted-litellm-proxy\" target=\"_blank\"> Hosted Proxy</a> | <a href=\"https://litellm.ai/enterprise\"target=\"_blank\">Enterprise Tier</a> | <a href=\"https://www.litellm.ai/ai-gateway\" target=\"_blank\">Website</a></h4>\n<h4 align=\"center\">\n <a href=\"https://pypi.org/project/litellm/\" target=\"_blank\">\n <img src=\"https://img.shields.io/pypi/v/litellm.svg\" alt=\"PyPI Version\">\n </a>\n <a href=\"https://github.com/BerriAI/litellm\" target=\"_blank\">\n <img src=\"https://i",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"dottxt-ai/outlines": {
"full_name": "dottxt-ai/outlines",
"name": "outlines",
"owner": "dottxt-ai",
"description": "Structured Outputs",
"language": "Python",
"topics": [
"cfg",
"generative-ai",
"json",
"llms",
"prompt-engineering",
"regex",
"structured-generation",
"symbolic-ai"
],
"stars": 15472,
"forks": 834,
"url": "https://github.com/dottxt-ai/outlines",
"homepage": "https://dottxt-ai.github.io/outlines/",
"starred_at": "2026-06-27T18:13:28+00:00",
"readme_excerpt": "<div align=\"center\" style=\"margin-bottom: 1em;\">\n\n<img src=\"./docs/assets/images/logo-light-mode.svg#gh-light-mode-only\" alt=\"Outlines Logo\" width=300></img>\n<img src=\"./docs/assets/images/logo-dark-mode.svg#gh-dark-mode-only\" alt=\"Outlines Logo\" width=300></img>\n\n\n \ud83d\uddd2\ufe0f *Structured outputs for LLMs* \ud83d\uddd2\ufe0f\n\nMade with \u2764\ud83d\udc77\ufe0f by the team at [.txt](https://dottxt.co)\n<br>Trusted by NVIDIA, Cohere, HuggingFace, vLLM, etc.\n\n<!-- Project Badges -->\n[![PyPI Version][pypi-version-badge]][pypi]\n[![Downloads][downloads-badge]][pypistats]\n[![Stars][stars-badge]][stars]\n\n<!-- Community Badges -->\n[![Discord][discord-badge]][discord]\n[![Blog][dottxt-blog-badge]][dottxt-blog]\n[![Twitter][twitter-badge]][twitter]\n\n<br>The .txt API is currently in early access. **[Request access here \u2192](https://h1xbpbfsf0w.typeform.com/to/fwQNWmS8?utm_source=github&utm_medium=organic&utm_campaign=outlines)**\n\n\n</div>\n\n## \ud83d\ude80 Building the future of structured generation\n\nWe're working with select partners to develop new interfaces to structured generation.\n\nNeed XML, FHIR, custom schemas or grammars? Let's talk.\n\nAudit your schema: share one schema, we show you what breaks under generation, the constraints that fix it, and compliance rates before and after. Sign up [here](https://h1xbpbfsf0w.typeform.com/to/rtFUraA2?typeform).\n\n## Table of Contents\n\n- [Why Outlines?](#why-outlines)\n- [Quickstart](#quickstart)\n- [Real-World Examples](#real-world-examples)\n - [\ud83d\ude4b\u200d\u2642\ufe0f Customer Support Triage](#customer-support-triage)\n - [\ud83d\udce6 E-commerce Product Categorization](#e-commerce-product-categorization)\n - [\ud83d\udcca Parse Event Details with Incomplete Data](#parse-event-details-with-incomplete-data)\n - [\ud83d\uddc2\ufe0f Categorize Documents into Predefined Types](#categorize-documents-into-predefined-types)\n - [\ud83d\udcc5 Schedule a Meeting with Function Calling](#schedule-a-meeting-with-function-calling)\n - [\ud83d\udcdd Dynamically Generate Prompts with Re-usable Templates](#dynamically-generate-prompts-with-re-usable-templates)\n- [They Use Outlines](#they",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"unclecode/crawl4ai": {
"full_name": "unclecode/crawl4ai",
"name": "crawl4ai",
"owner": "unclecode",
"description": "\ud83d\ude80\ud83e\udd16 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN",
"language": "Python",
"topics": [],
"stars": 75804,
"forks": 7836,
"url": "https://github.com/unclecode/crawl4ai",
"homepage": "https://crawl4ai.com",
"starred_at": "2026-06-27T18:13:01+00:00",
"readme_excerpt": "# \ud83d\ude80\ud83e\udd16 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper.\n\n<div align=\"center\">\n\n<a href=\"https://trendshift.io/repositories/11716\" target=\"_blank\"><img src=\"https://trendshift.io/api/badge/repositories/11716\" alt=\"unclecode%2Fcrawl4ai | Trendshift\" style=\"width: 250px; height: 55px;\" width=\"250\" height=\"55\"/></a>\n\n[](https://github.com/unclecode/crawl4ai/stargazers)\n[](https://github.com/unclecode/crawl4ai/network/members)\n\n[](https://badge.fury.io/py/crawl4ai)\n[](https://pypi.org/project/crawl4ai/)\n[](https://pepy.tech/project/crawl4ai)\n[](https://github.com/sponsors/unclecode)\n\n---\n#### \ud83d\ude80 Crawl4AI Cloud API \u2014 Closed Beta (Launching Soon)\nReliable, large-scale web extraction, now built to be _**drastically more cost-effective**_ than any of the existing solutions.\n\n\ud83d\udc49 **Apply [here](https://forms.gle/E9MyPaNXACnAMaqG7) for early access** \n_We\u2019ll be onboarding in phases and working closely with early users.\nLimited slots._\n\n---\n\n<p align=\"center\">\n <a href=\"https://x.com/crawl4ai\">\n <img src=\"https://img.shields.io/badge/Follow%20on%20X-000000?style=for-the-badge&logo=x&logoColor=white\" alt=\"Follow on X\" />\n </a>\n <a href=\"https://www.linkedin.com/company/crawl4ai\">\n <img src=\"https://img.shields.io/badge/Follow%20on%20LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white\" alt=\"Follow on LinkedIn\" />\n </a>\n <a href=\"https://discord.gg/jP8KfhDhyN\">\n <img src=\"https://img.shields.io/badge/Join%20our%20Discord-5865F2?style=for-the-badge&logo=discord&logoColo",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"stanfordnlp/dspy": {
"full_name": "stanfordnlp/dspy",
"name": "dspy",
"owner": "stanfordnlp",
"description": "DSPy: The framework for programming\u2014not prompting\u2014language models",
"language": "Python",
"topics": [],
"stars": 36517,
"forks": 3155,
"url": "https://github.com/stanfordnlp/dspy",
"homepage": "https://dspy.ai",
"starred_at": "2026-06-27T18:12:41+00:00",
"readme_excerpt": "<p align=\"center\">\n <img align=\"center\" src=\"docs/docs/static/img/dspy_logo.png\" width=\"460px\" />\n</p>\n<p align=\"left\">\n\n\n## DSPy: _Programming_\u2014not prompting\u2014Foundation Models\n\n**Documentation:** [DSPy Docs](https://dspy.ai/)\n\n[](https://pepy.tech/projects/dspy)\n\n\n----\n\nDSPy is the framework for _programming\u2014rather than prompting\u2014language models_. It allows you to iterate fast on **building modular AI systems** and offers algorithms for **optimizing their prompts and weights**, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops.\n\nDSPy stands for Declarative Self-improving Python. Instead of brittle prompts, you write compositional _Python code_ and use DSPy to **teach your LM to deliver high-quality outputs**. Learn more via our [official documentation site](https://dspy.ai/) or meet the community, seek help, or start contributing via this GitHub repo and our [Discord server](https://discord.gg/XCGy2WDCQB).\n\n\n## Documentation: [dspy.ai](https://dspy.ai)\n\n\n**Please go to the [DSPy Docs at dspy.ai](https://dspy.ai)**\n\n\n## Installation\n\n\n```bash\npip install dspy\n```\n\nTo install the very latest from `main`:\n\n```bash\npip install git+https://github.com/stanfordnlp/dspy.git\n```\n\n\n\n\n## \ud83d\udcdc Citation & Reading More\n\nIf you're looking to understand the framework, please go to the [DSPy Docs at dspy.ai](https://dspy.ai).\n\nIf you're looking to understand the underlying research, this is a set of our papers:\n\n**[Jul'25] [GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning](https://arxiv.org/abs/2507.19457)** \n**[Jun'24] [Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://arxiv.org/abs/2406.11695)** \n**[Oct'23] [DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines](https://arxiv.org/abs/2310.03714)** \n[Jul'24] [Fine-Tuning and Prompt Optimization: Two Great Steps",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"langfuse/langfuse": {
"full_name": "langfuse/langfuse",
"name": "langfuse",
"owner": "langfuse",
"description": "\ud83e\udea2 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. \ud83c\udf4aYC W23 ",
"language": "TypeScript",
"topics": [
"analytics",
"autogen",
"evaluation",
"langchain",
"large-language-models",
"llama-index",
"llm",
"llm-evaluation",
"llm-observability",
"llmops",
"monitoring",
"observability",
"open-source",
"openai",
"playground",
"prompt-engineering",
"prompt-management",
"self-hosted",
"ycombinator"
],
"stars": 32294,
"forks": 3468,
"url": "https://github.com/langfuse/langfuse",
"homepage": "https://langfuse.com",
"starred_at": "2026-06-27T18:11:18+00:00",
"readme_excerpt": "<img width=\"2400\" alt=\"hero-b (1)\" src=\"https://github.com/user-attachments/assets/5810ae13-15d6-4b60-afd2-927adc501861\" />\n\n<div align=\"center\">\n <div>\n <h3>\n <a href=\"https://cloud.langfuse.com\">\n <strong>Langfuse Cloud</strong>\n </a> \u00b7 \n <a href=\"https://langfuse.com/docs/deployment/self-host\">\n <strong>Self Host</strong>\n </a> \u00b7 \n <a href=\"https://langfuse.com/demo\">\n <strong>Demo</strong>\n </a>\n </h3>\n </div>\n\n <div>\n <a href=\"https://langfuse.com/docs\"><strong>Docs</strong></a> \u00b7\n <a href=\"https://langfuse.com/issues\"><strong>Report Bug</strong></a> \u00b7\n <a href=\"https://langfuse.com/ideas\"><strong>Feature Request</strong></a> \u00b7\n <a href=\"https://langfuse.com/changelog\"><strong>Changelog</strong></a> \u00b7\n <a href=\"https://langfuse.com/roadmap\"><strong>Roadmap</strong></a> \u00b7\n </div>\n <br/>\n <div>\n </div>\n</div>\n\n<p align=\"center\">\n <a href=\"https://github.com/langfuse/langfuse/blob/main/LICENSE\">\n <img src=\"https://img.shields.io/badge/License-MIT-E11311.svg\" alt=\"MIT License\">\n </a>\n <a href=\"https://www.ycombinator.com/companies/langfuse\"><img src=\"https://img.shields.io/badge/Y%20Combinator-W23-orange\" alt=\"Y Combinator W23\"></a>\n <a href=\"https://hub.docker.com/u/langfuse\" target=\"_blank\">\n <img alt=\"Docker Pulls\" src=\"https://img.shields.io/docker/pulls/langfuse/langfuse?labelColor=%20%23FDB062&logo=Docker&labelColor=%20%23528bff\"></a>\n <a href=\"https://pypi.python.org/pypi/langfuse\"><img src=\"https://img.shields.io/pypi/dm/langfuse?logo=python&logoColor=white&label=pypi%20langfuse&color=blue\" alt=\"langfuse Python package on PyPi\"></a>\n <a href=\"https://www.npmjs.com/package/langfuse\"><img src=\"https://img.shields.io/npm/dm/langfuse?logo=npm&logoColor=white&label=npm%20langfuse&color=blue\" alt=\"langfuse npm package\"></a>\n <br/>\n <a href=\"https://discord.com/invite/7NXusRtqYU\" target=\"_blank\">\n <img src=\"https:/",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"feyninc/chonkie": {
"full_name": "feyninc/chonkie",
"name": "chonkie",
"owner": "feyninc",
"description": "\ud83e\udd9b CHONK docs with Chonkie \u2728 \u2014 The lightweight ingestion library for fast, efficient and robust RAG pipelines",
"language": "Python",
"topics": [
"ai",
"chonkie",
"chunker",
"chunking-algorithm",
"llms",
"rag",
"retrieval-systems",
"semantic-chunker",
"similarity-search",
"splitting-algorithms",
"text-splitter"
],
"stars": 4616,
"forks": 348,
"url": "https://github.com/feyninc/chonkie",
"homepage": "https://docs.chonkie.ai",
"starred_at": "2026-06-27T18:08:10+00:00",
"readme_excerpt": "<div align='center'>\n\n\n\n# \ud83e\udd9b Chonkie \u2728\n\n[](https://pypi.org/project/chonkie/)\n[](https://github.com/chonkie-inc/chonkie/blob/main/LICENSE)\n[](https://docs.chonkie.ai)\n[](https://github.com/chonkie-inc/chonkie/blob/main/README.md#installation)\n[](https://codecov.io/gh/chonkie-inc/chonkie)\n[](https://pepy.tech/project/chonkie)\n[](https://discord.gg/vH3SkRqmUz)\n[](https://github.com/chonkie-inc/chonkie/stargazers)\n\n_The lightweight ingestion library for fast, efficient and robust RAG pipelines_\n\n[Installation](#\ud83d\udce6-installation) \u2022\n[Usage](#\ud83d\ude80-usage) \u2022\n[Chunkers](#\u2702\ufe0f-chunkers) \u2022\n[Integrations](#\ud83d\udd0c-integrations) \u2022\n[Benchmarks](#\ud83d\udcca-benchmarks)\n\n</div>\n\nTired of making your gazillionth chunker? Sick of the overhead of large libraries? Want to chunk your texts quickly and efficiently? Chonkie the mighty hippo is here to help!\n\n**\ud83d\ude80 Feature-rich**: All the CHONKs you'd ever need </br>\n**\ud83d\udd04 End-to-end**: Fetch, CHONK, refine, embed and ship straight to your vector DB! </br>\n**\u2728 Easy to use**: Install, Import, CHONK </br>\n**\u26a1 Fast**: CHONK at the speed of light! zooooom </br>\n**\ud83e\udeb6 Light-weight**: No bloat, just CHONK </br>\n**\ud83d\udd0c 32+ [integrations](#integrations)**: Works with your favorite tools and vector DBs out of the box! </br>\n**\ud83d\udcac \ufe0fMultilingual**: Out-of-the-box support for 56 languages </br>\n**\u2601\ufe0f Cloud-Friendly*",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"cupy/cupy": {
"full_name": "cupy/cupy",
"name": "cupy",
"owner": "cupy",
"description": "NumPy & SciPy for GPU",
"language": "Python",
"topics": [
"cublas",
"cuda",
"cudnn",
"cupy",
"curand",
"cusolver",
"cusparse",
"cusparselt",
"cutensor",
"gpu",
"nccl",
"numpy",
"nvrtc",
"nvtx",
"python",
"rocm",
"scipy",
"tensor"
],
"stars": 12227,
"forks": 1121,
"url": "https://github.com/cupy/cupy",
"homepage": "https://cupy.dev",
"starred_at": "2026-06-27T10:44:53+00:00",
"readme_excerpt": "<div align=\"center\"><img src=\"https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png\" width=\"400\"/></div>\n\n# CuPy : NumPy & SciPy for GPU\n\n[](https://pypi.python.org/pypi/cupy)\n[](https://anaconda.org/conda-forge/cupy)\n[](https://github.com/cupy/cupy)\n[](https://gitter.im/cupy/community)\n[](https://twitter.com/CuPy_Team)\n[](https://medium.com/cupy-team)\n\n[**Website**](https://cupy.dev/)\n| [**Install**](https://docs.cupy.dev/en/stable/install.html)\n| [**Tutorial**](https://docs.cupy.dev/en/stable/user_guide/basic.html)\n| [**Examples**](https://github.com/cupy/cupy/tree/main/examples)\n| [**Documentation**](https://docs.cupy.dev/en/stable/)\n| [**API Reference**](https://docs.cupy.dev/en/stable/reference/)\n| [**Forum**](https://groups.google.com/forum/#!forum/cupy)\n\nCuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.\nCuPy acts as a [drop-in replacement](https://docs.cupy.dev/en/stable/reference/comparison.html) to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.\n\n```py\n>>> import cupy as cp\n>>> x = cp.arange(6).reshape(2, 3).astype('f')\n>>> x\narray([[ 0., 1., 2.],\n [ 3., 4., 5.]], dtype=float32)\n>>> x.sum(axis=1)\narray([ 3., 12.], dtype=float32)\n```\n\nCuPy also provides access to low-level CUDA features.\nYou can pass `ndarray` to existing CUDA C/C++ programs via [RawKernels](https://docs.cupy.dev/en/stable/user_guide/kernel.html#raw-kernels), use [Streams](https://docs.cupy.dev/en/stable/reference/cuda.html) for performance, or even call [CUDA Runtime APIs](https://docs.cupy.dev/en/stable/refe",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"firecrawl/firecrawl": {
"full_name": "firecrawl/firecrawl",
"name": "firecrawl",
"owner": "firecrawl",
"description": "The API to search, scrape, and interact with the web at scale. \ud83d\udd25",
"language": "TypeScript",
"topics": [
"ai",
"ai-agents",
"ai-crawler",
"ai-scraping",
"ai-search",
"crawler",
"data-extraction",
"html-to-markdown",
"llm",
"markdown",
"scraper",
"scraping",
"web-crawler",
"web-data",
"web-data-extraction",
"web-scraper",
"web-scraping",
"web-search",
"webscraping"
],
"stars": 159175,
"forks": 9042,
"url": "https://github.com/firecrawl/firecrawl",
"homepage": "https://firecrawl.dev",
"starred_at": "2026-06-24T21:24:21+00:00",
"readme_excerpt": "<h3 align=\"center\">\n <a name=\"readme-top\"></a>\n <img\n src=\"https://raw.githubusercontent.com/firecrawl/firecrawl/main/img/firecrawl_logo.png\"\n height=\"200\"\n >\n</h3>\n\n<div align=\"center\">\n <a href=\"https://github.com/firecrawl/firecrawl/blob/main/LICENSE\">\n <img src=\"https://img.shields.io/github/license/firecrawl/firecrawl\" alt=\"License\">\n </a>\n <a href=\"https://pepy.tech/project/firecrawl-py\">\n <img src=\"https://static.pepy.tech/badge/firecrawl-py\" alt=\"Downloads\">\n </a>\n <a href=\"https://GitHub.com/firecrawl/firecrawl/graphs/contributors\">\n <img src=\"https://img.shields.io/github/contributors/firecrawl/firecrawl.svg\" alt=\"GitHub Contributors\">\n </a>\n <a href=\"https://firecrawl.dev\">\n <img src=\"https://img.shields.io/badge/Visit-firecrawl.dev-orange\" alt=\"Visit firecrawl.dev\">\n </a>\n</div>\n\n<div>\n <p align=\"center\">\n <a href=\"https://twitter.com/firecrawl\">\n <img src=\"https://img.shields.io/badge/Follow%20on%20X-000000?style=for-the-badge&logo=x&logoColor=white\" alt=\"Follow on X\" />\n </a>\n <a href=\"https://www.linkedin.com/company/104100957\">\n <img src=\"https://img.shields.io/badge/Follow%20on%20LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white\" alt=\"Follow on LinkedIn\" />\n </a>\n <a href=\"https://discord.gg/firecrawl\">\n <img src=\"https://img.shields.io/badge/Join%20our%20Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white\" alt=\"Join our Discord\" />\n </a>\n </p>\n</div>\n\n---\n\n# **\ud83d\udd25 Firecrawl**\n\n**The API to search, scrape, and interact with the web at scale. \ud83d\udd25** The web context API to find sources, extract content, and turn it into clean Markdown or structured data your agents can ship with. Open source and available as a [hosted service](https://firecrawl.dev/?ref=github).\n\n_Pst. Hey, you, join our stargazers :)_\n\n<a href=\"https://github.com/firecrawl/firecrawl\">\n <img src=\"https://img.shields.io/github/stars/firecrawl/firecrawl.svg?style=social&label=Star&maxAge=2592000\" alt",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"infiniflow/ragflow": {
"full_name": "infiniflow/ragflow",
"name": "ragflow",
"owner": "infiniflow",
"description": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs",
"language": "Go",
"topics": [
"agent-harness",
"agentic-ai",
"agentic-retrieval",
"agentic-search",
"ai",
"ai-agents",
"context-engine",
"context-engineering",
"context-management",
"harness-engineering",
"knowledge-compilation",
"llm-apps",
"rag",
"retrieval-augmented-generation"
],
"stars": 86586,
"forks": 10173,
"url": "https://github.com/infiniflow/ragflow",
"homepage": "https://ragflow.io",
"starred_at": "2026-06-06T17:33:59+00:00",
"readme_excerpt": "<div align=\"center\">\n<a href=\"https://cloud.ragflow.io/\">\n<img src=\"https://raw.githubusercontent.com/infiniflow/ragflow/main/web/src/assets/logo-with-text.svg\" width=\"520\" alt=\"ragflow logo\">\n</a>\n</div>\n\n<p align=\"center\">\n <a href=\"./README.md\"><img alt=\"README in English\" src=\"https://img.shields.io/badge/English-DBEDFA\"></a>\n <a href=\"./README_zh.md\"><img alt=\"\u7b80\u4f53\u4e2d\u6587\u7248\u81ea\u8ff0\u6587\u4ef6\" src=\"https://img.shields.io/badge/\u7b80\u4f53\u4e2d\u6587-DFE0E5\"></a>\n <a href=\"./README_tzh.md\"><img alt=\"\u7e41\u9ad4\u7248\u4e2d\u6587\u81ea\u8ff0\u6587\u4ef6\" src=\"https://img.shields.io/badge/\u7e41\u9ad4\u4e2d\u6587-DFE0E5\"></a>\n <a href=\"./README_ja.md\"><img alt=\"\u65e5\u672c\u8a9e\u306eREADME\" src=\"https://img.shields.io/badge/\u65e5\u672c\u8a9e-DFE0E5\"></a>\n <a href=\"./README_ko.md\"><img alt=\"\ud55c\uad6d\uc5b4\" src=\"https://img.shields.io/badge/\ud55c\uad6d\uc5b4-DFE0E5\"></a>\n <a href=\"./README_fr.md\"><img alt=\"README en Fran\u00e7ais\" src=\"https://img.shields.io/badge/Fran\u00e7ais-DFE0E5\"></a>\n <a href=\"./README_id.md\"><img alt=\"Bahasa Indonesia\" src=\"https://img.shields.io/badge/Bahasa Indonesia-DFE0E5\"></a>\n <a href=\"./README_pt_br.md\"><img alt=\"Portugu\u00eas(Brasil)\" src=\"https://img.shields.io/badge/Portugu\u00eas(Brasil)-DFE0E5\"></a>\n <a href=\"./README_ar.md\"><img alt=\"README in Arabic\" src=\"https://img.shields.io/badge/Arabic-DFE0E5\"></a>\n <a href=\"./README_tr.md\"><img alt=\"T\u00fcrk\u00e7e README\" src=\"https://img.shields.io/badge/T\u00fcrk\u00e7e-DFE0E5\"></a>\n <a href=\"./README_ru.md\"><img alt=\"\u0420\u0443\u0441\u0441\u043a\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f README\" src=\"https://img.shields.io/badge/\u0420\u0443\u0441\u0441\u043a\u0438\u0439-DFE0E5\"></a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://x.com/intent/follow?screen_name=infiniflowai\" target=\"_blank\">\n <img src=\"https://img.shields.io/twitter/follow/infiniflow?logo=X&color=%20%23f5f5f5\" alt=\"follow on X(Twitter)\">\n </a>\n <a href=\"https://cloud.ragflow.io\" target=\"_blank\">\n <img alt=\"Static Badge\" src=\"https://img.shields.io/badge/Get-Started-4e6b99\">\n </a>\n <a href=\"https://hub.docker.com/r/infiniflow/ragflow\" target=\"_blank\">\n <img src=\"https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/infiniflow/ragflow-stats/main/ba",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"ZhuLinsen/daily_stock_analysis": {
"full_name": "ZhuLinsen/daily_stock_analysis",
"name": "daily_stock_analysis",
"owner": "ZhuLinsen",
"description": "LLM \u9a71\u52a8\u7684\u591a\u5e02\u573a\u80a1\u7968\u667a\u80fd\u5206\u6790\u7cfb\u7edf\uff1a\u591a\u6e90\u884c\u60c5\u3001\u5b9e\u65f6\u65b0\u95fb\u3001\u51b3\u7b56\u770b\u677f\u4e0e\u81ea\u52a8\u63a8\u9001\uff0c\u652f\u6301\u96f6\u6210\u672c\u5b9a\u65f6\u8fd0\u884c\u3002 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.",
"language": "Python",
"topics": [
"a-stock",
"ai-agent",
"aigc",
"llm",
"quant",
"quantitative-finance",
"quantitative-trading"
],
"stars": 59806,
"forks": 51181,
"url": "https://github.com/ZhuLinsen/daily_stock_analysis",
"homepage": "https://dsa.zhulinsen.tech",
"starred_at": "2026-06-06T17:27:50+00:00",
"readme_excerpt": "<div align=\"center\">\n\n# \ud83d\udcc8 \u80a1\u7968\u667a\u80fd\u5206\u6790\u7cfb\u7edf\n\n[](https://github.com/ZhuLinsen/daily_stock_analysis/stargazers)\n[](https://github.com/ZhuLinsen/daily_stock_analysis/actions/workflows/ci.yml)\n[](https://opensource.org/licenses/MIT)\n[](https://www.python.org/downloads/)\n[](https://github.com/features/actions)\n[](https://hub.docker.com/r/zhulinsen/daily_stock_analysis)\n\n<p align=\"center\">\n <img src=\"https://trendshift.io/api/badge/trendshift/repositories/18527/daily?language=Python\" alt=\"#1 Python Repository Of The Day | Trendshift\" width=\"250\" height=\"55\"/> <a href=\"https://hellogithub.com/repository/ZhuLinsen/daily_stock_analysis\" target=\"_blank\"><img src=\"https://api.hellogithub.com/v1/widgets/recommend.svg?rid=6daa16e405ce46ed97b4a57706aeb29f&claim_uid=pfiJMqhR9uvDGlT&theme=neutral\" alt=\"Featured\uff5cHelloGitHub\" width=\"230\" /></a>\n</p>\n\n> \ud83e\udd16 \u57fa\u4e8e AI \u5927\u6a21\u578b\u7684 A\u80a1/\u6e2f\u80a1/\u7f8e\u80a1/\u65e5\u80a1/\u97e9\u80a1/\u53f0\u80a1\u81ea\u9009\u80a1\u667a\u80fd\u5206\u6790\u7cfb\u7edf\uff0c\u6bcf\u65e5\u81ea\u52a8\u5206\u6790\u5e76\u63a8\u9001\u300c\u51b3\u7b56\u4eea\u8868\u76d8\u300d\u5230\u4f01\u4e1a\u5fae\u4fe1/\u98de\u4e66/Telegram/Discord/Slack/\u90ae\u7bb1\n\n[**\u4ea7\u54c1\u9884\u89c8**](#-\u4ea7\u54c1\u9884\u89c8) \u00b7 [**\u529f\u80fd\u7279\u6027**](#-\u529f\u80fd\u7279\u6027) \u00b7 [**\u5feb\u901f\u5f00\u59cb**](#-\u5feb\u901f\u5f00\u59cb) \u00b7 [**\u63a8\u9001\u6548\u679c**](#-\u63a8\u9001\u6548\u679c) \u00b7 [**\u6587\u6863\u4e2d\u5fc3**](docs/INDEX.md) \u00b7 [**\u5b8c\u6574\u6307\u5357**](docs/full-guide.md)\n\n\u7b80\u4f53\u4e2d\u6587 | [English](docs/README_EN.md) | [\u7e41\u9ad4\u4e2d\u6587](docs/README_CHT.md)\n\n</div>\n\n## \ud83d\udc96 \u8d5e\u52a9\u5546 (Sponsors)\n<div align=\"center\">\n <p align=\"center\">\n <a href=\"https://open.anspire.cn/dsa?share_code=QFBC0FYC\" target=\"_blank\"><img src=\"./docs/assets/anspire.png\" alt=\"Anspire Open \u4e00\u7ad9\u5f0f\u6a21\u578b\u548c\u641c\u7d22\u670d\u52a1\" width=\"300\" height=\"141\" style=\"width: 300px; height: 141px; object-fit: contain;\"></a>\n <a href=\"https://serpapi.",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"Egonex-AI/Understand-Anything": {
"full_name": "Egonex-AI/Understand-Anything",
"name": "Understand-Anything",
"owner": "Egonex-AI",
"description": "Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.",
"language": "TypeScript",
"topics": [
"antigravity-skills",
"business-knowledge",
"claude-code",
"claude-skills",
"codebase-analysis",
"codex",
"codex-skills",
"developer-tools-ai-agent",
"gemini-cli-skills",
"karpathy-llm-wiki",
"knowledge-base",
"knowledge-graph",
"memory",
"opencode-skills",
"pi-agent",
"understandcode",
"vibe-coding"
],
"stars": 77071,
"forks": 6458,
"url": "https://github.com/Egonex-AI/Understand-Anything",
"homepage": "https://understand-anything.com/",
"starred_at": "2026-06-06T17:15:23+00:00",
"readme_excerpt": "<h1 align=\"center\">Understand Anything</h1>\n\n<p align=\"center\">\n <strong>Turn any codebase, knowledge base, or docs into an interactive knowledge graph you can explore, search, and ask questions about.</strong>\n <br />\n <em>Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.</em>\n</p>\n\n<p align=\"center\">\n <strong>Understand Anything. <a href=\"https://egonex.ai\">Understand Anyone.</a></strong>\n <br />\n <em>AI should help people, not replace them.</em>\n</p>\n\n<p align=\"center\">\n <a href=\"https://trendshift.io/repositories/23482\" target=\"_blank\"><img src=\"https://trendshift.io/api/badge/repositories/23482\" alt=\"Understand Anything | Trendshift\" style=\"width: 250px; height: 55px;\" width=\"250\" height=\"55\"/></a>\n</p>\n\n<p align=\"center\">\n <a href=\"README.md\">English</a> | <a href=\"READMEs/README.zh-CN.md\">\u7b80\u4f53\u4e2d\u6587</a> | <a href=\"READMEs/README.zh-TW.md\">\u7e41\u9ad4\u4e2d\u6587</a> | <a href=\"READMEs/README.ja-JP.md\">\u65e5\u672c\u8a9e</a> | <a href=\"READMEs/README.ko-KR.md\">\ud55c\uad6d\uc5b4</a> | <a href=\"READMEs/README.es-ES.md\">Espa\u00f1ol</a> | <a href=\"READMEs/README.tr-TR.md\">T\u00fcrk\u00e7e</a> | <a href=\"READMEs/README.ru-RU.md\">\u0420\u0443\u0441\u0441\u043a\u0438\u0439</a>\n</p>\n\n<p align=\"center\">\n <a href=\"#-quick-start\"><img src=\"https://img.shields.io/badge/Quick_Start-blue\" alt=\"Quick Start\" /></a>\n <a href=\"https://github.com/Egonex-AI/Understand-Anything/blob/main/LICENSE\"><img src=\"https://img.shields.io/badge/License-MIT-yellow\" alt=\"License: MIT\" /></a>\n <a href=\"https://docs.anthropic.com/en/docs/claude-code\"><img src=\"https://img.shields.io/badge/Claude_Code-8A2BE2\" alt=\"Claude Code\" /></a>\n <a href=\"#codex\"><img src=\"https://img.shields.io/badge/Codex-000000\" alt=\"Codex\" /></a>\n <a href=\"#vs-code--github-copilot\"><img src=\"https://img.shields.io/badge/Copilot-24292e\" alt=\"Copilot\" /></a>\n <a href=\"#copilot-cli\"><img src=\"https://img.shields.io/badge/Copilot_CLI-24292e\" alt=\"Copilot CLI\" /></a>\n <a href=\"#gemini-cli\"><img src=\"https://img.shields.io/badge/Gemini_CLI-4285F4\" alt=\"Gemini CLI\" /></a>\n <a href=\"#opencode\"",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"Graphify-Labs/graphify": {
"full_name": "Graphify-Labs/graphify",
"name": "graphify",
"owner": "Graphify-Labs",
"description": "Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.",
"language": "Python",
"topics": [
"ai-agents",
"antigravity",
"ast",
"claude-code",
"code-analysis",
"code-search",
"codex",
"cursor",
"developer-tools",
"gemini",
"graphrag",
"knowledge-graph",
"leiden",
"llm",
"mcp",
"openclaw",
"rag",
"skills",
"tree-sitter"
],
"stars": 100421,
"forks": 9751,
"url": "https://github.com/Graphify-Labs/graphify",
"homepage": "https://www.graphify.com",
"starred_at": "2026-06-06T15:37:53+00:00",
"readme_excerpt": "<p align=\"center\">\n <a href=\"https://graphify.com\"><img src=\"https://raw.githubusercontent.com/Graphify-Labs/graphify/v8/docs/logo.png\" width=\"300\" height=\"140\" alt=\"Graphify\"/></a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://trendshift.io/repositories/25296?utm_source=repository-badge&utm_medium=badge&utm_campaign=badge-repository-25296\" target=\"_blank\" rel=\"noopener noreferrer\"><img src=\"https://trendshift.io/api/badge/repositories/25296\" alt=\"Graphify-Labs%2Fgraphify | Trendshift\" width=\"250\" height=\"55\"/></a>\n</p>\n\n<div align=\"center\">\n<details><summary><b>Read this in other languages</b></summary>\n\n\ud83c\uddfa\ud83c\uddf8 <a href=\"README.md\">English</a> | \ud83c\udde8\ud83c\uddf3 <a href=\"docs/translations/README.zh-CN.md\">\u7b80\u4f53\u4e2d\u6587</a> | \ud83c\uddef\ud83c\uddf5 <a href=\"docs/translations/README.ja-JP.md\">\u65e5\u672c\u8a9e</a> | \ud83c\uddf0\ud83c\uddf7 <a href=\"docs/translations/README.ko-KR.md\">\ud55c\uad6d\uc5b4</a> | \ud83c\udde9\ud83c\uddea <a href=\"docs/translations/README.de-DE.md\">Deutsch</a> | \ud83c\uddeb\ud83c\uddf7 <a href=\"docs/translations/README.fr-FR.md\">Fran\u00e7ais</a> | \ud83c\uddea\ud83c\uddf8 <a href=\"docs/translations/README.es-ES.md\">Espa\u00f1ol</a> | \ud83c\uddee\ud83c\uddf3 <a href=\"docs/translations/README.hi-IN.md\">\u0939\u093f\u0928\u094d\u0926\u0940</a> | \ud83c\udde7\ud83c\uddf7 <a href=\"docs/translations/README.pt-BR.md\">Portugu\u00eas</a> | \ud83c\uddf7\ud83c\uddfa <a href=\"docs/translations/README.ru-RU.md\">\u0420\u0443\u0441\u0441\u043a\u0438\u0439</a> | \ud83c\uddf8\ud83c\udde6 <a href=\"docs/translations/README.ar-SA.md\">\u0627\u0644\u0639\u0631\u0628\u064a\u0629</a> | \ud83c\uddee\ud83c\uddf7 <a href=\"docs/translations/README.fa-IR.md\">\u0641\u0627\u0631\u0633\u06cc</a> | \ud83c\uddee\ud83c\uddf9 <a href=\"docs/translations/README.it-IT.md\">Italiano</a> | \ud83c\uddf5\ud83c\uddf1 <a href=\"docs/translations/README.pl-PL.md\">Polski</a> | \ud83c\uddf3\ud83c\uddf1 <a href=\"docs/translations/README.nl-NL.md\">Nederlands</a> | \ud83c\uddf9\ud83c\uddf7 <a href=\"docs/translations/README.tr-TR.md\">T\u00fcrk\u00e7e</a> | \ud83c\uddfa\ud83c\udde6 <a href=\"docs/translations/README.uk-UA.md\">\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430</a> | \ud83c\uddfb\ud83c\uddf3 <a href=\"docs/translations/README.vi-VN.md\">Ti\u1ebfng Vi\u1ec7t</a> | \ud83c\uddee\ud83c\udde9 <a href=\"docs/translations/README.id-ID.md\">Bahasa Indonesia</a> | \ud83c\uddf8\ud83c\uddea <a href=\"docs/translations/README.sv-SE.md\">Svenska</a> | \ud83c\uddec\ud83c\uddf7 <a href=\"docs/translations/README.el-GR.md\">\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac</a> | \ud83c\uddf7\ud83c\uddf4 <a href=\"docs/translations/README.ro-RO.md\">Rom\u00e2n\u0103</a> | \ud83c\udde8\ud83c\uddff <a href=\"docs/translations/README.cs-CZ.md\">\u010ce\u0161tina</",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"shitagaki-lab/see-through": {
"full_name": "shitagaki-lab/see-through",
"name": "see-through",
"owner": "shitagaki-lab",
"description": "\"Single-image Layer Decomposition for Anime Characters\" (SIGGRAPH 2026 Conference Paper)",
"language": "Python",
"topics": [],
"stars": 3389,
"forks": 311,
"url": "https://github.com/shitagaki-lab/see-through",
"homepage": "",
"starred_at": "2026-04-05T08:30:13+00:00",
"readme_excerpt": "\nSee-through: Single-image Layer Decomposition for Anime Characters\n---\n\n<a href='https://arxiv.org/abs/2602.03749'><img src='https://img.shields.io/badge/arXiv-2602.03749-b31b1b.svg'></a>\n<a href='https://dl.acm.org/doi/10.1145/3799902.3811209'><img src='https://img.shields.io/badge/ACM-Digital%20Library-0085CA.svg'></a>\n<a href='https://huggingface.co/spaces/24yearsold/see-through-demo'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Space-PSD%20Inference%20Demo-blue'></a>\n<a href='https://modelscope.cn/studios/ljsabc/See-Through'><img src='https://img.shields.io/badge/ModelScope-Demo%2F\u5728\u7ebf\u6f14\u793a-624aff.svg'></a>\n\n\n_**[Jian Lin](https://github.com/dmMaze)<sup>1</sup>, [Chengze Li](https://moeka.me)<sup>1*</sup>, [Haoyun Qin](https://haoyunqin.com/)<sup>2,3,4</sup>, Kwun Wang Chan<sup>1</sup>, [Yanghua Jin](https://github.com/Aixile)<sup>3</sup>, [Hanyuan Liu](https://github.com/hyliu)<sup>1</sup>, Stephen Chun Wang Choy<sup>1</sup>, Xueting Liu<sup>1</sup>**_\n\n<sup>1</sup>Saint Francis University   <sup>2</sup>University of Pennsylvania   <sup>3</sup>Spellbrush   <sup>4</sup>Shitagaki Lab\n\n<sup>*</sup>Corresponding author\n\nPublished in *ACM SIGGRAPH 2026 Conference Papers*.\n\n</div>\n\n---\n\n> **Notice:** This is an open-source research project. We have not set up any paid service for this tool. If you encounter a website charging for this functionality, it is not from us. Use at your own risk.\n>\n> **\u58f0\u660e\uff1a** \u672c\u9879\u76ee\u4e3a\u5f00\u6e90\u7814\u7a76\u9879\u76ee\uff0c\u6211\u4eec\u672a\u5f00\u8bbe\u4efb\u4f55\u4ed8\u8d39\u670d\u52a1\u3002\u5982\u9047\u5230\u4ee5\u6b64\u529f\u80fd\u6536\u8d39\u7684\u7f51\u7ad9\uff0c\u5747\u4e0e\u6211\u4eec\u65e0\u5173\uff0c\u8bf7\u6ce8\u610f\u7504\u522b\u3002\n\n## TL;DR\n\nWe introduce a framework that automates the transformation of static anime illustrations into manipulatable **2.5D models**. Our approach decomposes a single image into fully inpainted, semantically distinct layers with inferred drawing orders \u2014 up to **23 layers** including hair, face, eyes, clothing, accessories, and more.\n\n\n\n\n<div align=\"center\">\n \n\nhttps://github.com/user-attachments/assets/023d271f-d8d7-4f6b-9083-96e714fb93e",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"karpathy/autoresearch": {
"full_name": "karpathy/autoresearch",
"name": "autoresearch",
"owner": "karpathy",
"description": "AI agents running research on single-GPU nanochat training automatically",
"language": "Python",
"topics": [],
"stars": 92760,
"forks": 13206,
"url": "https://github.com/karpathy/autoresearch",
"homepage": null,
"starred_at": "2026-03-19T08:15:52+00:00",
"readme_excerpt": "# autoresearch\n\n\n\n*One day, frontier AI research used to be done by meat computers in between eating, sleeping, having other fun, and synchronizing once in a while using sound wave interconnect in the ritual of \"group meeting\". That era is long gone. Research is now entirely the domain of autonomous swarms of AI agents running across compute cluster megastructures in the skies. The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the \"code\" is now a self-modifying binary that has grown beyond human comprehension. This repo is the story of how it all began. -@karpathy, March 2026*.\n\nThe idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats. You wake up in the morning to a log of experiments and (hopefully) a better model. The training code here is a simplified single-GPU implementation of [nanochat](https://github.com/karpathy/nanochat). The core idea is that you're not touching any of the Python files like you normally would as a researcher. Instead, you are programming the `program.md` Markdown files that provide context to the AI agents and set up your autonomous research org. The default `program.md` in this repo is intentionally kept as a bare bones baseline, though it's obvious how one would iterate on it over time to find the \"research org code\" that achieves the fastest research progress, how you'd add more agents to the mix, etc. A bit more context on this project is here in this [tweet](https://x.com/karpathy/status/2029701092347630069) and [this tweet](https://x.com/karpathy/status/2031135152349524125).\n\n## How it works\n\nThe repo is deliberately kept small and only really has three files that matter:\n\n- **`prepare.py`** \u2014 fixed constants, one-time data prep (downloads training data, trains a BPE to",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"AlexsJones/llmfit": {
"full_name": "AlexsJones/llmfit",
"name": "llmfit",
"owner": "AlexsJones",
"description": "Hundreds of models & providers. One command to find what runs on your hardware.",
"language": "Rust",
"topics": [
"gguf",
"llm",
"localai",
"mlx",
"skill",
"unsloth"
],
"stars": 31048,
"forks": 1895,
"url": "https://github.com/AlexsJones/llmfit",
"homepage": "",
"starred_at": "2026-03-06T18:52:19+00:00",
"readme_excerpt": "# llmfit\n\n<p align=\"center\">\n <img src=\"assets/icon.svg\" alt=\"llmfit icon\" width=\"128\" height=\"128\">\n</p>\n\n<p align=\"center\">\n <b>English</b> \u00b7\n <a href=\"README.zh.md\">\u4e2d\u6587</a> \u00b7\n <a href=\"README.ja.md\">\u65e5\u672c\u8a9e</a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://github.com/AlexsJones/llmfit/actions/workflows/ci.yml\"><img src=\"https://github.com/AlexsJones/llmfit/actions/workflows/ci.yml/badge.svg\" alt=\"CI\"></a>\n <a href=\"https://crates.io/crates/llmfit\"><img src=\"https://img.shields.io/crates/v/llmfit.svg\" alt=\"Crates.io\"></a>\n <a href=\"LICENSE\"><img src=\"https://img.shields.io/badge/license-MIT-blue.svg\" alt=\"License\"></a>\n <a href=\"https://about.signpath.io\"><img src=\"https://img.shields.io/badge/SignPath-signed-brightgreen?logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgaGVpZ2h0PSIxNiIgZmlsbD0id2hpdGUiIHZpZXdCb3g9IjAgMCAxNiAxNiI+PHBhdGggZD0iTTEwLjA2NyA0LjU2N2wtNC43MzQgNC43MzMtMS40LTEuNGExIDEgMCAwIDAtMS40MTQgMS40MTRsMi4xIDIuMWExIDEgMCAwIDAgMS40MTQgMGw1LjQ0LTUuNDRhMSAxIDAgMCAwLTEuNDE0LTEuNDE0eiIvPjwvc3ZnPg==\" alt=\"Signed with SignPath\"></a>\n</p>\n\n> **\ud83d\udcca New: benchmark & share \u2014 real numbers from your machine, better estimates for everyone.** Download a model, serve it, and measure real tok/s on your hardware \u2014 then contribute the results back to the project as a PR, straight from the TUI. No `gh` CLI, no third-party account. Every run is saved locally first, your own measurements replace estimates in the fit table, and each merged submission ships in the next release: anyone on identical hardware gets measured `\u2713` numbers before they ever run a benchmark. [Follow the step-by-step benchmarking guide \u2192](docs/benchmarking.md)\n>\n> *Previously: [llmfit 1.0 \u2014 the release where the numbers became verifiable \u2192](https://github.com/AlexsJones/llmfit/discussions/708)*\n\n**Hundreds of models & providers. One command to find what runs on your hardware.**\n\nA terminal tool that right-sizes LLM models to your system's RAM, CPU, and GPU",
"assigned_category": "\ud83e\udd16 AI & Machine Learning",
"in_lists": []
},
"rust-ui/ui": {
"full_name": "rust-ui/ui",
"name": "ui",
"owner": "rust-ui",
"description": "A Shadcn-inspired component registry for Rust \u2014 build cross-platform apps for Web, Desktop, iOS and Android.",
"language": "Rust",
"topics": [
"axum",
"components",
"cross-platform",
"desktop",
"leptos",
"mobile",
"rust",
"rust-ui",
"shadcn",
"shadcn-ui",
"tailwindcss",
"ui",
"wasm"
],
"stars": 501,
"forks": 37,
"url": "https://github.com/rust-ui/ui",
"homepage": "https://rust-ui.com/",
"starred_at": "2026-07-31T08:34:37+00:00",
"readme_excerpt": "# Rust/UI\nInspired by shadcn/ui, built for Rust fullstack apps. A component registry for Leptos \u2014 built with Tailwind CSS, copy-paste ready.\n[](https://www.rust-ui.com)\n\n\n## Why Rust/UI?\nRust/UI isn\u2019t a component library you install as a crate. It\u2019s a collection of re-usable components that you copy and paste into your apps.\n\n- Full Control: The code is yours. No black-box UI framework crates to fight against.\n- Styling: Built with Tailwind CSS for easy customization.\n- Framework: Designed specifically for the Leptos fullstack ecosystem.\n- Type Safe: Leverages Rust\u2019s powerful type system for component props.\n\n\n## Star History\n\n[](https://star-history.com/#rust-ui/ui&Date)\n\n\n## Ecosystem\nRust/UI is backed by a set of purpose-built crates:\n\n| Crate | Description |\n|-------|-------------|\n| [`tw-merge`](https://crates.io/crates/tw-merge) | Tailwind class merging utility |\n| [`icons`](https://crates.io/crates/icons) | Icon components for Leptos |\n| [`ui-cli`](https://crates.io/crates/ui-cli) | CLI for adding components to your project |\n\n**Starters**\n\n| Repo | Description |\n|------|-------------|\n| [start-tauri-fullstack](https://github.com/rust-ui/start-tauri-fullstack) | Leptos + Tauri fullstack starter |\n| [start-tauri](https://github.com/rust-ui/start-tauri) | Tauri starter with Rust/UI |\n\n\n## Getting Started\nVisit [rust-ui.com](https://www.rust-ui.com) to browse components and get install commands.\n\n### Quick Start\n1. Ensure you have the following installed:\n - [Tailwind CSS](https://tailwindcss.com/docs/installation/tailwind-cli)\n - [Cargo Leptos](https://github.com/leptos-rs/cargo-leptos) \n \n Install cargo-leptos:\n ```bash\n cargo install --locked cargo-leptos\n ```\n\n2. Browse the [registry](https://www.rust-ui.com/), find a component (e.g., `Button`), and copy the source into your project's components/ directory.\n ",
"assigned_category": "\ud83d\udcbb Web Development",
"in_lists": []
},
"pixel-point/pixelpoint-website": {
"full_name": "pixel-point/pixelpoint-website",
"name": "pixelpoint-website",
"owner": "pixel-point",
"description": "Design and development of JAMStack-based marketing websites",
"language": "JavaScript",
"topics": [
"gatsby",
"jamstack",
"jamstack-site",
"react",
"rive",
"tailwindcss"
],
"stars": 90,
"forks": 15,
"url": "https://github.com/pixel-point/pixelpoint-website",
"homepage": "https://pixelpoint.io",
"starred_at": "2026-07-03T15:53:46+00:00",
"readme_excerpt": "<h1 align=\"left\">\n Pixel Point \u2014 Web Design and Development\n</h1>\n\n<p align=\"left\">\n<a href=\"https://twitter.com/intent/follow?screen_name=alex_barashkov\">\n <img alt=\"Follow on Twitter\" src=\"https://img.shields.io/twitter/follow/alex_barashkov?color=%23ee2b6c&label=Follow%20Pixel%20Point%20on%20Twitter&labelColor=black&logoColor=%23ee2b6c&style=for-the-badge\" />\n</a>\n</p>\n\n<p align=\"center\">\n <a href=\"https://www.pixelpoint.io\">\n <img alt=\"Gatsby\" src=\"https://pixelpoint.io/images/social-preview.jpg\" />\n </a>\n</p>\n\n## Table of Contents\n\n- [Welcome](#welcome)\n- [Getting Started](#getting-started)\n- [Usage](#usage)\n - [Run the website](#run-the-website)\n - [Build the website](#build-the-website)\n - [Run the built website](#run-the-built-website)\n - [Clean Gatsby cache](#clean-gatsby-cache)\n- [Project Structure](#project-structure)\n- [Component Folder Structure](#component-folder-structure)\n - [Each component includes](#each-component-includes)\n - [Each component optionally may include](#each-component-optionally-may-include)\n - [Example structure](#example-structure)\n- [Code Style](#code-style)\n - [ESLint](#eslint)\n - [Prettier](#prettier)\n - [VS Code](#vs-code)\n- [Contribution](#contribution)\n\n## Welcome\n\nHello there! This repo is a home to Pixel Point, a web agency that designs and develops world-class marketing websites. We made this codebase available to open source community so everyone can get something useful out of our expertise, be it for project structure, code patterns or plugins.\n\nBelow you will find some basic information about how to work with this project. If you've spotted a bug, a copywriting mistake or just want to suggest some better solution, please, refer to the [contribution](#contribution) section.\n\n## Getting Started\n\n1. Clone repository\n\n```bash\ngit clone git@github.com:pixel-point/pixelpoint-website.git\n```\n\n2. Install dependencies\n\n```bash\nnpm install\n```\n\n3. Add `.env` file\n\n```bash\ncp .env.example .env\n```\n\n## Usage\n\n### R",
"assigned_category": "\ud83d\udcbb Web Development",
"in_lists": []
},
"zzzzshawn/matrix": {
"full_name": "zzzzshawn/matrix",
"name": "matrix",
"owner": "zzzzshawn",
"description": null,
"language": "TypeScript",
"topics": [],
"stars": 534,
"forks": 28,
"url": "https://github.com/zzzzshawn/matrix",
"homepage": "https://dotmatrix.zzzzshawn.cloud/",
"starred_at": "2026-06-24T18:42:05+00:00",
"readme_excerpt": "# Dotmatrix Loader Library\n\nReusable dotmatrix-style loading animations with two consumption paths:\n\n1. shadcn registry install (primary)\n2. Manual source copy/paste from docs (secondary)\n\n## Layout\n\nSingle Next.js app: loader components live in `loaders/`, app routes in `app/`, and the shadcn-style registry is built into `registry.json` and `public/r/`.\n\n## Commands\n\n- `pnpm dev`: run the docs app\n- `pnpm registry:build`: generate `registry.json` plus `public/r/registry.json` and `public/r/*`\n- `pnpm test`: run tests\n- `pnpm typecheck`: run TypeScript checks\n\n## Registry publishing\n\n- Set `REGISTRY_HOMEPAGE` when building to override the homepage in registry metadata (default is `https://dotmatrix.zzzzshawn.cloud`).\n- To be listed in shadcn's official registry directory, you must also edit files in a fork of `shadcn-ui/ui` (not this repo): `apps/v4/registry/directory.json` and `apps/v4/public/r/registries.json`.\n",
"assigned_category": "\ud83d\udcbb Web Development",
"in_lists": []
},
"Ashutoshx7/VengeanceUI": {
"full_name": "Ashutoshx7/VengeanceUI",
"name": "VengeanceUI",
"owner": "Ashutoshx7",
"description": "VengeanceUI helps you to build your landing page by providing you animated beautiful components out of the box which you can copy and paste and make your landing page Awesome ,Subtle and of course Tasteful.",
"language": "TypeScript",
"topics": [],
"stars": 1000,
"forks": 80,
"url": "https://github.com/Ashutoshx7/VengeanceUI",
"homepage": "https://www.vengenceui.com/",
"starred_at": "2026-06-24T18:39:35+00:00",
"readme_excerpt": "\n\n<h1 align=\"center\">VengeanceUI</h1>\n\n<p align=\"center\">\n <strong>Modern animated UI components for building beautiful landing pages faster.</strong>\n</p>\n\n<p align=\"center\">\n Copy. Paste. Customize. Ship.\n</p>\n\n---\n\n<p align=\"center\">\n <a href=\"https://github.com/Ashutoshx7/VengeanceUI/stargazers\">\n <img src=\"https://img.shields.io/github/stars/Ashutoshx7/VengeanceUI?style=social\" alt=\"GitHub stars\" />\n </a>\n <a href=\"https://github.com/Ashutoshx7/VengeanceUI/forks\">\n <img src=\"https://img.shields.io/github/forks/Ashutoshx7/VengeanceUI?style=social\" alt=\"GitHub forks\" />\n </a>\n <a href=\"https://github.com/Ashutoshx7/VengeanceUI/issues\">\n <img src=\"https://img.shields.io/github/issues/Ashutoshx7/VengeanceUI?style=social\" alt=\"GitHub issues\" />\n </a>\n</p>\n\n<p align=\"center\">\n <img src=\"https://img.shields.io/badge/Next.js-black?style=for-the-badge&logo=nextdotjs\" />\n <img src=\"https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react\" />\n <img src=\"https://img.shields.io/badge/TypeScript-3178C6?style=for-the-badge&logo=typescript\" />\n <img src=\"https://img.shields.io/badge/TailwindCSS-06B6D4?style=for-the-badge&logo=tailwindcss\" />\n <img src=\"https://img.shields.io/badge/Framer%20Motion-black?style=for-the-badge&logo=framer\" />\n</p>\n\n---\n\n<p align=\"center\">\n <strong>Backed by the Vercel Open Source Program</strong>\n</p>\n\n<p align=\"center\">\n <a href=\"https://vercel.com/oss\">\n <img alt=\"Vercel OSS Program\" src=\"https://vercel.com/oss/program-badge-2026.svg\" width=\"260\" />\n </a>\n</p>\n\n<p align=\"center\">\n <strong>This project is tested with BrowserStack</strong>\n</p>\n\n---\n\n\n\nhttps://github.com/user-attachments/assets/8d20c9ae-31a8-4284-a8ae-77ca11d15c53\n\n\n\n## About\n\n**VengeanceUI** is a modern, animated UI component library designed to help developers build beautiful landing pages and interfaces faster.\n\nIt provides ready-to-use, copy-paste friendly components with smooth animations, clean design, and developer-focused impleme",
"assigned_category": "\ud83d\udcbb Web Development",
"in_lists": []
},
"speedyapply/JobSpy": {
"full_name": "speedyapply/JobSpy",
"name": "JobSpy",
"owner": "speedyapply",
"description": "Jobs scraper library for LinkedIn, Indeed, Glassdoor, Google, ZipRecruiter & more",
"language": "Python",
"topics": [
"bayt",
"bdjobs",
"glassdoor",
"google-jobs",
"indeed",
"internship",
"job-scraper",
"job-search",
"jobs-scraper",
"jobs-search",
"jobsearch",
"jobseeker",
"linkedin",
"linkedin-scraper",
"remote-job",
"remote-jobs",
"remote-work",
"ziprecruiter"
],
"stars": 3997,
"forks": 791,
"url": "https://github.com/speedyapply/JobSpy",
"homepage": "",
"starred_at": "2026-06-02T19:42:08+00:00",
"readme_excerpt": "<img src=\"https://github.com/cullenwatson/JobSpy/assets/78247585/ae185b7e-e444-4712-8bb9-fa97f53e896b\" width=\"400\">\n\n**JobSpy** is a job scraping library with the goal of aggregating all the jobs from popular job boards with one tool.\n\n## Features\n\n- Scrapes job postings from **LinkedIn**, **Indeed**, **Glassdoor**, **Google**, **ZipRecruiter**, & other job boards concurrently\n- Aggregates the job postings in a dataframe\n- Proxies support to bypass blocking\n\n\n\n### Installation\n\n```\npip install -U python-jobspy\n```\n\n_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_\n\n### Usage\n\n```python\nimport csv\nfrom jobspy import scrape_jobs\n\njobs = scrape_jobs(\n site_name=[\"indeed\", \"linkedin\", \"zip_recruiter\", \"google\"], # \"glassdoor\", \"bayt\", \"naukri\", \"bdjobs\"\n search_term=\"software engineer\",\n google_search_term=\"software engineer jobs near San Francisco, CA since yesterday\",\n location=\"San Francisco, CA\",\n results_wanted=20,\n hours_old=72,\n country_indeed='USA',\n \n # linkedin_fetch_description=True # gets more info such as description, direct job url (slower)\n # proxies=[\"208.195.175.46:65095\", \"208.195.175.45:65095\", \"localhost\"],\n)\nprint(f\"Found {len(jobs)} jobs\")\nprint(jobs.head())\njobs.to_csv(\"jobs.csv\", quoting=csv.QUOTE_NONNUMERIC, escapechar=\"\\\\\", index=False) # to_excel\n```\n\n### Output\n\n```\nSITE TITLE COMPANY CITY STATE JOB_TYPE INTERVAL MIN_AMOUNT MAX_AMOUNT JOB_URL DESCRIPTION\nindeed Software Engineer AMERICAN SYSTEMS Arlington VA None yearly 200000 150000 https://www.indeed.com/viewjob?jk=5e409e577046... THIS POSITION COMES WITH A 10K SIGNING BONUS!...\nindeed Senior Software Engineer TherapyNotes.com Philadelphia PA f",
"assigned_category": "\ud83d\udcbb Web Development",
"in_lists": []
},
"karakeep-app/karakeep": {
"full_name": "karakeep-app/karakeep",
"name": "karakeep",
"owner": "karakeep-app",
"description": "A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search",
"language": "TypeScript",
"topics": [
"bookmark-manager",
"bookmarks",
"bookmarks-manager",
"nextjs",
"react-native",
"read-it-later",
"self-hosted"
],
"stars": 27984,
"forks": 1391,
"url": "https://github.com/karakeep-app/karakeep",
"homepage": "https://karakeep.app",
"starred_at": "2026-07-06T05:45:49+00:00",
"readme_excerpt": "<div align=\"center\">\n <a href=\"https://github.com/karakeep-app/karakeep/actions/workflows/ci.yml\">\n <img alt=\"GitHub Actions Workflow Status\" src=\"https://img.shields.io/github/actions/workflow/status/karakeep-app/karakeep/ci.yml\" />\n </a>\n <a href=\"https://github.com/karakeep-app/karakeep/releases\">\n <img alt=\"GitHub Release\" src=\"https://img.shields.io/github/v/release/karakeep-app/karakeep\" />\n </a>\n <a href=\"https://discord.gg/NrgeYywsFh\">\n <img alt=\"Discord\" src=\"https://img.shields.io/discord/1223681308962721802?label=chat%20on%20discord\" />\n </a>\n <a href=\"https://hosted.weblate.org/engage/hoarder/\">\n <img src=\"https://hosted.weblate.org/widget/hoarder/hoarder/svg-badge.svg\" alt=\"Translation status\" />\n </a>\n</div>\n\n# <img height=\"50px\" src=\"./screenshots/logo.png\" />\n\nKarakeep (previously Hoarder) is a self-hostable bookmark-everything app with a touch of AI for the data hoarders out there.\n\n\n\n## Features\n\n- Bookmark links, take simple notes and store images and pdfs.\n- Automatic fetching for link titles, descriptions and images.\n- Sort your bookmarks into lists.\n- Collaborate with others on the same list.\n- Full text & semantic search of all the content stored.\n- LLM-based automatic tagging and summarization. With supports for local models using ollama!\n- LLM Agents (e.g. OpenClaw, Hermes) friendly with powerful [CLI](https://docs.karakeep.app/integrations/command-line), and [official skills](https://docs.karakeep.app/integrations/agentic-skills).\n- Rule-based engine for customized management.\n- OCR for extracting text from images.\n- [Chrome plugin](https://chromewebstore.google.com/detail/karakeep/kgcjekpmcjjogibpjebkhaanilehneje), [Firefox addon](https://addons.mozilla.org/en-US/firefox/addon/karakeep/), and [Safari extension](https://apps.apple.com/gb/app/karakeep-app/id6479258022?platform=mac) fo",
"assigned_category": "\ud83c\udfe0 Self-Hosting & Infrastructure",
"in_lists": []
},
"nextcloud/server": {
"full_name": "nextcloud/server",
"name": "server",
"owner": "nextcloud",
"description": "\u2601\ufe0f Nextcloud server, a safe home for all your data",
"language": "PHP",
"topics": [
"cloud",
"collaboration",
"decentralized",
"design",
"distributed",
"enterprise",
"federation",
"file-sharing",
"free-software",
"hacktoberfest",
"javascript",
"nextcloud",
"open-source",
"opensource",
"owncloud",
"php",
"self-hosting",
"sharing",
"usability",
"ux"
],
"stars": 36313,
"forks": 5088,
"url": "https://github.com/nextcloud/server",
"homepage": "https://nextcloud.com",
"starred_at": "2026-07-03T16:05:43+00:00",
"readme_excerpt": "<!--\n - SPDX-FileCopyrightText: 2016-2024 Nextcloud GmbH and Nextcloud contributors\n - SPDX-FileCopyrightText: 2013-2016 ownCloud, Inc.\n - SPDX-License-Identifier: AGPL-3.0-or-later\n-->\n# Nextcloud Server \u2601\n[](https://api.reuse.software/info/github.com/nextcloud/server)\n[](https://codecov.io/gh/nextcloud/server)\n[](https://bestpractices.coreinfrastructure.org/projects/209)\n[](https://contribute.design/nextcloud/server)\n\n**A safe home for all your data.**\n\n\n\n## Why is this so awesome? \ud83e\udd29\n\n* \ud83d\udcc1 **Access your Data** You can store your files, contacts, calendars, and more on a server of your choosing.\n* \ud83d\udd04 **Sync your Data** You keep your files, contacts, calendars, and more synchronized amongst your devices.\n* \ud83d\ude4c **Share your Data** \u2026by giving others access to the stuff you want them to see or to collaborate with.\n* \ud83d\ude80 **Expandable with hundreds of Apps** ...like [Calendar](https://github.com/nextcloud/calendar), [Contacts](https://github.com/nextcloud/contacts), [Mail](https://github.com/nextcloud/mail), [Video Chat](https://github.com/nextcloud/spreed) and all those you can discover in our [App Store](https://apps.nextcloud.com)\n* \ud83d\udd12 **Security** with our encryption mechanisms, [HackerOne bounty program](https://hackerone.com/nextcloud) and two-factor authentication.\n\nDo you want to learn more about how you can use Nextcloud to access, share, and protect your files, calendars, contacts, communication & more at home and in your organization? [**Learn about all our Features**](https://nextcloud.com/athome/).\n\n## Get your Nextcloud \ud83d\ude9a\n\n- \u2611\ufe0f [**Simply sign up**](https://nextcloud.com/",
"assigned_category": "\ud83c\udfe0 Self-Hosting & Infrastructure",
"in_lists": []
},
"CoreBunch/Instatic": {
"full_name": "CoreBunch/Instatic",
"name": "Instatic",
"owner": "CoreBunch",
"description": "The open-source alternative to Webflow, Framer and WordPress. Agentic self-hosted visual CMS outputting clean static pages. Users, roles, plugins, content, database, it's all there. ",
"language": "TypeScript",
"topics": [
"cms",