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deptry

A command line utility to check for unused, missing and transitive dependencies in a Python project.

Worth itPyPI Python ModulesReleased Mar 20268.8M downloads / moMITPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — deptry-0.25.1-cp310-abi3-macosx_10_12_x86_64.whl · deptry-0.25.1-cp310-abi3-macosx_11_0_arm64.whl · deptry-0.25.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
v0.25.1 · released 2026-03-18 · Python >=3.10 · 5 runtime deps: click, colorama, packaging, requirements-parser, tomli

Yes. Deptry solves a real problem—dependency drift—that most Python projects accumulate over time. It's actively maintained, has no known vulnerabilities, uses a permissive license, and the medium install friction (Python 3.10+ requirement, virtual-environment-only) is a reasonable trade-off for a development tool. Install it as a dev dependency and run it in CI.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Must be installed in the project's own virtual environment and run from the project root directory; requires Python 3.10 or later.
  • Medium install friction: requires Python 3.10+ and must be installed in the project's own virtual environment, not globally.
  • Prebuilt wheels available for CPython and PyPy across common platforms.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute deptry freely provided you include the license notice.

last release 2026-03-18 (149 days) · last repo commit 2026-08-12 · 1,459 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,838,663 downloads/mo, #1,590 on PyPI

Verify before relying

pip install deptry

# Then from your project root:
deptry .

# Output shows issues like:
# foo/bar.py:1:0: DEP004 'numpy' imported but declared as a dev dependency
  • Accuracy of import detection across different Python syntax patterns and dynamic imports
  • Performance characteristics on large codebases with thousands of files
  • Support scope for less common dependency declaration formats beyond the listed tools
Same gist for agents: .md · .json

What it is and what it does

Deptry is a command-line tool that audits Python project dependencies by scanning source code for actual imports and comparing them against what your project declares. It works with Poetry, pip, PDM, uv, and any project following PEP 621, identifying three main problems: dependencies you've declared but never use, dependencies you import but forgot to declare, and transitive dependencies that may cause issues. You run it from your project root within its virtual environment, and it reports each issue with a file location and error code.

The tool is written in Rust for performance and distributed as prebuilt wheels for most platforms. It's actively maintained, supports Python 3.10 through 3.14, and can be configured via command-line flags or a `[tool.deptry]` section in pyproject.toml. Its main dependencies are lightweight CLI and parsing libraries (click, colorama, packaging, requirements-parser, tomli).

Use it for

  • Enforce clean dependency hygiene in CI/CD pipelines by catching unused or missing declarations before merge
  • Audit existing projects to identify and remove bloated or forgotten dependencies that slow installation
  • Validate that dev-only dependencies (like test frameworks) aren't accidentally imported in production code
  • Detect missing transitive dependencies that could break if an intermediate package changes its exports
  • Integrate into pre-commit hooks to catch dependency issues during local development

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Deptry solves a real problem—dependency drift—that most Python projects accumulate over time. It's actively maintained, has no known vulnerabilities, uses a permissive license, and the medium install friction (Python 3.10+ requirement, virtual-environment-only) is a reasonable trade-off for a development tool. Install it as a dev dependency and run it in CI.

Install

deptry on PyPI

Before you install

Medium install friction: requires Python 3.10+ and must be installed in the project's own virtual environment, not globally. Prebuilt wheels available for CPython and PyPy across common platforms. Active maintenance with recent releases.

Must be installed in the project's own virtual environment and run from the project root directory; requires Python 3.10 or later.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute deptry freely provided you include the license notice.

Quickstart

pip install deptry

# Then from your project root:
deptry .

# Output shows issues like:
# foo/bar.py:1:0: DEP004 'numpy' imported but declared as a dev dependency

Verify before relying

  • Accuracy of import detection across different Python syntax patterns and dynamic imports
  • Performance characteristics on large codebases with thousands of files
  • Support scope for less common dependency declaration formats beyond the listed tools

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependencies
5 packages
clickcoloramapackagingrequirements-parsertomli
MaintenanceActively maintained 149 days since the last release
Last repo commit
First released
Downloads8,838,663 / month, #1,590 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaEnvironment :: ConsoleIntended Audience :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: RustTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: Quality Assurance

Evidence: deptry-0.25.1-cp310-abi3-macosx_10_12_x86_64.whl; deptry-0.25.1-cp310-abi3-macosx_11_0_arm64.whl; deptry-0.25.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; deptry-0.25.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; deptry-0.25.1-cp310-abi3-musllinux_1_1_aarch64.whl; deptry-0.25.1-cp310-abi3-musllinux_1_1_x86_64.whl; deptry-0.25.1-cp310-abi3-win_amd64.whl; deptry-0.25.1-cp310-abi3-win_arm64.whl; deptry-0.25.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl; deptry-0.25.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl; deptry-0.25.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; deptry-0.25.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; deptry-0.25.1-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl; deptry-0.25.1-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl; deptry-0.25.1-pp311-pypy311_pp73-win_amd64.whl

Tags

Capabilities
unused dependency detectionmissing dependency checkerpython dependency analyzerpoetry pip pdm dependency auditimport vs requirements validatortransitive dependency issuesdev dependency scanner
Topics
dependency-auditcli-toolrust-backed

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See also fawltydeps · pip-check-reqs · cppclean · pdm · creosote · flawfinder · flake8-requirements · pysentry-rs · rootpath · dependency-groups