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hatch

Modern, extensible Python project management

Worth itPyPI Build ToolsReleased Aug 202624.7M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — hatch-1.18.0-py3-none-any.whl
v1.18.0 · released 2026-08-11 · Python >=3.10 · 19 runtime deps: backports-zstd, click, distro, hatchling, httpx2, hyperlink, keyring, packaging

Yes. Hatch is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It's a top-1000 package with strong CI/CD signals and is suitable for new projects or teams wanting to consolidate their build and environment tooling. Start with it if you're building a Python package and want a modern, integrated alternative to setuptools + venv + pytest + twine.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Low install friction with a pure-wheel distribution.
  • Active maintenance with a release 3 days old and continuous CI/CD.

License · maintenance · safety

MIT (permissive) — MIT license is permissive; you can use, modify, and distribute Hatch freely in commercial and private projects with minimal restrictions.

last release 2026-08-11 (3 days) · last repo commit 2026-08-13 · 7,221 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 24,724,689 downloads/mo, #914 on PyPI

Verify before relying

pip install hatch
hatch new my-project
cd my-project
hatch build
  • Whether the CLI is actually 2-3x faster than equivalent tools as claimed in the description.
  • Whether custom environment scripts and UV integration work as seamlessly as the feature list suggests.
Same gist for agents: .md · .json

What it is and what it does

Hatch is a project manager that orchestrates the full lifecycle of Python package development—from project scaffolding and dependency isolation to building, testing, and publishing. It wraps a standardized build backend (hatchling), environment isolation via virtualenv, and integrates uv for faster dependency resolution. It also manages Python distributions, runs tests, performs static analysis, and handles version bumping and PyPI publishing.

You use Hatch when you want a single tool to replace a fragmented workflow of setuptools, pip, venv, pytest, and twine. It's designed for developers who want sensible defaults, reproducible builds, and a responsive CLI without having to wire together multiple tools or write boilerplate configuration.

Use it for

  • Create a new Python package from a template and manage its build, test, and publish cycle from the CLI.
  • Isolate project dependencies in managed virtual environments without manually running venv or pip.
  • Run tests and static analysis across multiple Python versions in separate environments.
  • Publish a package to PyPI or a private index with a single command.
  • Manage Python interpreter versions on your system and pin them per project.

Worth the install?

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

Worth it

Yes.

Hatch is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It's a top-1000 package with strong CI/CD signals and is suitable for new projects or teams wanting to consolidate their build and environment tooling. Start with it if you're building a Python package and want a modern, integrated alternative to setuptools + venv + pytest + twine.

Install

hatch on PyPI

Before you install

Low install friction with a pure-wheel distribution. Active maintenance with a release 3 days old and continuous CI/CD. Depends on 19 runtime packages including uv, virtualenv, and rich, all widely-used ecosystem tools.

Requires Python 3.10 or later.

License in practice

MIT license is permissive; you can use, modify, and distribute Hatch freely in commercial and private projects with minimal restrictions.

Quickstart

pip install hatch
hatch new my-project
cd my-project
hatch build

Verify before relying

  • Whether the CLI is actually 2-3x faster than equivalent tools as claimed in the description.
  • Whether custom environment scripts and UV integration work as seamlessly as the feature list suggests.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
19 packages
backports-zstdclickdistrohatchlinghttpx2hyperlinkkeyringpackagingpexpectplatformdirspyproject-hookspython-discoveryrichshellinghamtomli-wtomlkituserpathuvvirtualenv
MaintenanceActively maintained 3 days since the last release
Last repo commit
First released
Downloads24,724,689 / month, #914 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming 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 :: PyPyTopic :: Software Development :: Build Tools

Evidence: hatch-1.18.0-py3-none-any.whl

Tags

Capabilities
python project managerbuild and package pythonenvironment management toolpython testing frameworkpypi publishing tool
Topics
build-systemproject-managerenvironment-isolation
PyPI keywords
builddependencyenvironmenthatchpackagingpluginpublishingreleaseversioning

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See also dep-sync · hatch-cython · hatch-jupyter-builder · duplocloud-client · hatch-vcs · userpath · omegaconf · hatch-regex-commit · devcycle-python-server-sdk