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numpydoc

Sphinx extension to support docstrings in Numpy format

Worth itPyPI DocumentationReleased Dec 20252.3M downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — numpydoc-1.10.0-py3-none-any.whl
v1.10.0 · released 2025-12-02 · Python >=3.10 · 2 runtime deps: sphinx, tomli

Yes. numpydoc is actively maintained, has no known vulnerabilities, installs with low friction, and is essential if you document scientific Python code using NumPy-format docstrings. The permissive BSD license poses no restrictions. Install it as part of your Sphinx setup if your project or team uses NumPy docstring conventions.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10+ and Sphinx 6+; must be configured in a Sphinx project's conf.py
  • Low friction installation with a pure-Python wheel.
  • Actively maintained with recent commits and no known vulnerabilities.

License · maintenance · safety

permissive license (permissive) — BSD 2-Clause permissive license allows use in commercial and private projects with minimal restrictions; only requires copyright notice and disclaimer in distributions.

last release 2025-12-02 (255 days) · last repo commit 2026-08-09 · 352 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,301,154 downloads/mo, #3,156 on PyPI

Verify before relying

pip install numpydoc

# In conf.py (Sphinx configuration):
extensions = ['numpydoc']

# Then write NumPy-format docstrings in your code
  • Whether the extension handles all NumPy docstring edge cases or has known limitations with specific formats
  • Performance characteristics when processing large codebases with many NumPy-format docstrings
Same gist for agents: .md · .json

What it is and what it does

numpydoc is a Sphinx extension that teaches Sphinx how to read and render docstrings written in NumPy's standardized documentation format. It parses sections like Parameters, Returns, Examples, and Notes, converting them into properly formatted HTML or other Sphinx output formats. The extension also provides specialized directives (np:function, np-c:function, etc.) for documenting NumPy-style code.

You install it as a dependency of your Sphinx documentation project, add it to your conf.py extensions list, and then write your code docstrings following the NumPy format guide. Sphinx will automatically use numpydoc to render them. It depends on Sphinx and tomli, making it a lightweight addition to existing documentation workflows.

Use it for

  • Documenting scientific Python libraries that follow NumPy's docstring conventions
  • Converting existing NumPy-format docstrings into polished HTML API documentation via Sphinx
  • Adding specialized code directives (np:function, np-c:function) to Sphinx projects documenting NumPy-adjacent code
  • Enforcing consistent docstring structure across a team's scientific Python codebase
  • Building documentation sites for projects that inherit or adopt NumPy's documentation standards

Worth the install?

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

Worth it

Yes.

numpydoc is actively maintained, has no known vulnerabilities, installs with low friction, and is essential if you document scientific Python code using NumPy-format docstrings. The permissive BSD license poses no restrictions. Install it as part of your Sphinx setup if your project or team uses NumPy docstring conventions.

Install

numpydoc on PyPI

Before you install

Low friction installation with a pure-Python wheel. Actively maintained with recent commits and no known vulnerabilities. Requires Python 3.10+ and Sphinx 6+.

Requires Python 3.10+ and Sphinx 6+; must be configured in a Sphinx project's conf.py

License in practice

BSD 2-Clause permissive license allows use in commercial and private projects with minimal restrictions; only requires copyright notice and disclaimer in distributions.

Quickstart

pip install numpydoc

# In conf.py (Sphinx configuration):
extensions = ['numpydoc']

# Then write NumPy-format docstrings in your code

Verify before relying

  • Whether the extension handles all NumPy docstring edge cases or has known limitations with specific formats
  • Performance characteristics when processing large codebases with many NumPy-format docstrings

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
sphinxtomli
MaintenanceActively maintained 255 days since the last release
Last repo commit
First released
Downloads2,301,154 / month, #3,156 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: PluginsIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Documentation

Evidence: numpydoc-1.10.0-py3-none-any.whl

Tags

Capabilities
numpy docstring sphinx extensionsphinx numpy format parsernumpydoc docstring handlernumpy doc formatting sphinxsphinx numpy documentationparse numpy style docstringsnumpy docstring to html
Topics
sphinx-extensionscientific-docs
PyPI keywords
sphinxnumpy

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See also docstring-parser · sphinxcontrib-napoleon · docstring-parser-fork · sphinx-data-viewer · pydoctor · darglint · docstring-inheritance · pydoc-markdown · pydoclint · pdoc3