check-dependencies scans ๐ Python imports and compares them with the dependencies
declared in pyproject.toml.
It can be used locally or in CI/CD pipelines to find dependencies that are missing from the project configuration or declared but not actually used.
It supports PEP 621, Poetry (v1.2+), Hatch, and legacy tool.uv
dependency configuration.
This is a pure-Python package with no runtime dependencies on Python 3.11+
(toml is only required on older Python versions).
The project also ships a secondary CLI, dependency-writer, which writes
package-to-import mappings to a TOML config file. This is useful for creating
or updating [tool.check-dependencies.provides] entries.
Install with uv:
uv tool install check-dependencies
check-dependenciesInstall with pipx:
pipx install check-dependencies
check-dependenciesRun without installing:
uvx check-dependencies
pipx run check-dependenciesUse this repository as a reusable GitHub Action in third-party workflows.
The action installs this package in an isolated virtual environment and runs
python -m check_dependencies with the configured inputs.
name: Check dependencies
on:
pull_request:
push:
jobs:
check-dependencies:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v7
with:
python-version: "3.14" # any Python version supported by check-dependencies
- uses: schollm/check-dependencies@v2
with:
output-format: github
file-names: |
src/
include-dev: "false"
known-extra: ""
known-missing: ""
provides: ""
includes: ""
provides-from-venv: ""file-names(required): newline-separated paths to files/directoriesoutput-format: output format (concise,full, orgithub); defaultgithubknown-extra: comma-separated package listknown-missing: comma-separated module listprovides: comma-separatedPACKAGE=MODULEmappingsinclude-dev:trueorfalseincludes: newline-separated list of additional config filesprovides-from-venv: path to venv Python executable
Use check-dependencies to scan Python files and compare detected imports with
the dependencies declared in pyproject.toml.
usage: check-dependencies [-h] [--version] [--include-dev] [--verbose] [--provides-from-venv PYTHON_EXECUTABLE] [--missing MODULE,...] [--extra PACKAGE,...] [--provides PACKAGE=MODULE,...] [--include INCLUDE]
[--output-format OUTPUT_FORMAT]
file_name [file_name ...]
Find undeclared and unused (or all) imports in Python files
positional arguments:
file_name Python Source file to analyse
options:
-h, --help show this help message and exit
--version show program's version number and exit
--include-dev Include dev dependencies
--verbose Show every import of a package
--provides-from-venv PYTHON_EXECUTABLE
Path to the virtual environment's Python executable
(for example, .venv/bin/python) to include all packages
installed in it as provides.
--missing MODULE,... Comma separated list of requirements known to be missing.
Assume they are part of the requirements.
Can be specified multiple times.
Toml Key: [tool.check-dependencies] known-missing=[]
--extra PACKAGE,... Comma separated list of requirements known to not be imported.
Assume they are not part of the requirements. This can be plugins or
similar that affect the package but are not imported explicitly.
Can be specified multiple times.
Toml Key: [tool.check-dependencies] known-extra=[]
--provides PACKAGE=MODULE,...
Map a package name to its module (import) name for packages whose import
name differs from the package name. Can be specified multiple times.
E.g. --provides Pillow=PIL --provides PyJWT=jwt.
The package name is normalized (case-insensitive, hyphens and underscores
are equivalent), so Pillow=PIL, pillow=PIL and PIL-ow=PIL are all the same.
Toml Key: [tool.check-dependencies.provides]
--include INCLUDE, -I INCLUDE
Additional config files to include.
Can be specified multiple times. E.g. --include check-dependencies.toml.
Toml Key: [tool.check-dependencies] includes=[]
--output-format OUTPUT_FORMAT
The format to use for printing diagnostic messages
Possible values:
- full: Print all imports, including correct ones.
- concise: Print only problematic imports (missing or extra)
- github: Print only problematic imports in a format suitable
for GitHub Actions annotations
### ๐ Output
The output is a list of imports prefixed with their status.
Default status prefixes:
- `!` - Undeclared import
- `+` - Extra dependency, declared in `pyproject.toml` but not used in the code
- `?` - Dynamic import that could not be resolved.
- `!!` - Could not parse the file (e.g. syntax error)
- `!E` - Could not find associated pyproject.toml file
- ` ` - Correct import (only shown with `--output-format full`)
With `--verbose`, the output includes every matching import together with the
file name and line number where it appears.
Verbose status prefixes:
- `!NA` - Undeclared import
- `+EXTRA` - Extra dependency, declared in `pyproject.toml` but not used in the code
- `?UNKNOWN` - Dynamic import that could not be resolved.
- `!!FILE_ERROR` - Could not parse the file (e.g. syntax error)
- ` OK` - Correct import (only shown with `--output-format full`)
### ๐ Examples
#### Basic usage
โถ๏ธ Command:
```shell
check-dependencies project/src/
Example output:
pandas
! matplotlib
numpy
# Project project/pyproject.toml
+ requests
Use this when dependencies affect the application but are not imported directly in the codebase, such as plugins.
โถ๏ธ Command:check-dependencies --extra snowflake-sqlalchemy project/src
- ๐
pyproject.toml:[tool.check-dependencies] known-extra = [ "snowflake-sqlalchemy" ]
Some packages have different distribution and import names, for example
Pillow is imported as PIL.
โถ๏ธ Command:check-dependencies --provides Pillow=PIL --provides PyJWT=jwt project/src
- ๐
pyproject.toml:[tool.check-dependencies.provides] Pillow = "PIL" PyJWT = "jwt"
Supports PEP 420-style namespace-package imports where imports look like
company.package_name, with a declared dependency like company.package_name
(or the import is covered via a [tool.check-dependencies.provides] mapping).
- ๐
pyproject.toml:[project] dependencies = [ "company.package_name" ]
- ๐
pyproject.toml:dependencies = [ "package_name" ] [tool.check-dependencies.provides] package_name = ["company.package_name"]
Use this when imports are expected to be missing from the dependency list, but should not be reported.
โถ๏ธ Command:check-dependencies --missing numpy project/src
- ๐
pyproject.toml:[tool.check-dependencies] known-missing = [ "numpy" ]
By default, optional dependencies are checked just like regular dependencies.
If you want to check them only for certain files, you can configure them in the
pyproject.toml file under [tool.check-dependencies.optional-dependencies] with
a mapping of dependency groups to path prefixes.
This is only configurable via pyproject.toml and not via CLI arguments.
- ๐
pyproject.toml:[project.optional-dependencies] optional_dependency_group = ["optional_dependency_1", "optional_dependency_2"] another_optional_dependency_group = ["optional_dependency_3"] [tool.check-dependencies.optional-dependencies] optional_dependency_group = ["src/project/option_1/"] another_optional_dependency_group = ["src/option_2.py"]
Use an additional config file to provide extra dependencies, missing
dependencies, or provides mappings.
This is especially useful in monorepos where multiple packages share a common configuration file.
โถ๏ธ Command:check-dependencies --include ../global-check-dependencies.toml project/src/
- ๐
pyproject.toml:[tool.check-dependencies] includes = [ "../global-check-dependencies.toml" ]
โถ๏ธ Command:check-dependencies --include-dev project/tests/
Read package-to-import mappings from a virtual environment and include them in the check.
โถ๏ธ Command:check-dependencies --provides-from-venv .venv/bin/python project/src/
Show all detected dependencies, including the correct ones.
In the following example, pandas is declared and used, requests is declared
but unused, and numpy is used but not declared.
check-dependencies --output-format full project/src/Example output:
pandas
! numpy
+ requests
Show each import together with its status, file name, and line number.
check-dependencies --verbose project/src/Example output:
# ALL=False
# INCLUDE_DEV=False
# EXTRA pytest
# EXTRA toml
# EXTRA tomllib
# MISSING check_dependencies
# MISSING toml
# MISSING tomllib
!!FILE_ERROR project/src/broken.py
!NA matplotlib project/src/main.py:4
##### project/pyproject.toml ###
# Dependencies in config file not used in application:
+EXTRA requests
Show all imports, including correct ones, with file names and line numbers.
check-dependencies --verbose --output-format full project/src/Example output:
# ALL=True
# INCLUDE_DEV=False
# EXTRA pytest
# EXTRA toml
# EXTRA tomllib
# MISSING check_dependencies
# MISSING toml
# MISSING tomllib
OK project/src/data.py:5 pandas
OK project/src/main.py:3 pandas
OK project/src/plotting.py:4 pandas
!NA project/src/plotting.py:5 matplotlib
OK project/src/plotting.py:6 numpy
### Dependencies in config file not used in application:
# Config file: project/pyproject.toml
+EXTRA requests
Configuration is read from pyproject.toml.
[tool.check-dependencies]
known-missing = [
"undeclared_package",
"another_package"
]
known-extra = [
"package_as_extra_for_another_package",
"yet_another_package"
]
[tool.check-dependencies.provides]
# Maps package name (as declared in dependencies) -> import/module name
Pillow = "PIL"
PyJWT = "jwt"
pyshp = "shapefile"
foxtrox = ["fox", "trox"] # This package provides both `import fox` and `import trox`, but the package name is `foxtrox`
[tool.check-dependencies]
includes = [
"check-dependencies.toml",
"../../common-provides.toml"
]0: No missing or superfluous dependencies found2: Missing dependencies found (used, but not declared inpyproject.toml)4: Extra dependencies found (declared inpyproject.toml, but unused)6: Both missing and superfluous dependencies found8: Could not find associated pyproject.toml file16: Could not parse source file(s)1: Another error occurred
Use dependency-writer to generate or update
[tool.check-dependencies.provides] mappings from an existing Python
environment.
This is useful for generating the initial config file or refreshing it after dependency changes.
Combined with the includes setting in [tool.check-dependencies], it can
also be used to generate a shared [tool.check-dependencies.provides] mapping
for a monorepo.
If you install the package yourself and want to use dependency-writer, make
sure the optional write extra is installed because this command depends on
tomlkit.
usage: dependency-writer [-h] --python PYTHON --config CONFIG
options:
-h, --help show this help message and exit
--python, -p PYTHON Python executable to check.
--config, -c CONFIG Location of toml config file.
The following command updates the
[tool.check-dependencies.provides] table of pyproject.toml with all
mappings found in the virtual environment.
โถ๏ธ Command:
dependency-writer -p .venv/bin/python -c pyproject.tomlโถ๏ธ Command:
dependency-writer -p apps/my-app/.venv/bin/python -c ./check-dependencies.tomlThis requires an includes = [...] entry under [tool.check-dependencies] in
the application's pyproject.toml so that the generated config file is
included:
[tool.check-dependencies]
includes = [ "../../check-dependencies.toml" ]See CONTRIBUTING.md for development setup and guidelines.