Hatch is a productivity tool designed to make your workflow easier and more efficient, while also reducing the number of other tools you need to know. It aims to make the 90% use cases as pleasant as possible.

For me personally, Hatch has entirely replaced the manual (or entire!) use of these:

• Cookiecutter PyPackage
• pip
• virtualenv
• pyenv
• Pew
• inve
• pytest
• Coverage.py
• twine
• bumpversion
• zest.releaser
• Incremental
• python setup.py ...

           /^\/^\
         _|__|  O|
\/     /~     \_/ \
 \____|__________/  \
        \_______      \
                `\     \                 \
                  |     |                  \
                 /      /                    \
                /     /                       \
              /      /                         \ \
             /     /                            \  \
           /     /             _----_            \   \
          /     /           _-~      ~-_         |   |
         (      (        _-~    _--_    ~-_     _/   |
          \      ~-____-~    _-~    ~-_    ~-_-~    /
            ~-_           _-~          ~-_       _-~
               ~--______-~                ~-___-~

• Completely cross-platform (terminal colors too!) \(*_^)/
• Configurable project creation, with good defaults
• Easiest virtual environment management available, with support for all shells
• Package management defaults to a per-user basis, allowing global usage with elevated privileges (for your safety)
• Configurable semantic version bumping
• Robust build/package cleanup
• Easy testing with code coverage
• Simple building and releasing for PyPI
• All commands are environment-aware w.r.t. python/pip

Starting a new project is as easy as:

$ hatch new my-app
Created project `my-app`

Now you have a fully functional package that can be built and distributed.

$ tree --dirsfirst my-app
my-app
├── my_app
│   └── __init__.py
├── tests
│   └── __init__.py
├── LICENSE-APACHE
├── LICENSE-MIT
├── MANIFEST.in
├── README.rst
├── requirements.txt
├── setup.py
└── tox.ini

2 directories, 8 files

You can also bump the version of most projects without any setup:

$ git clone -q https://github.com/requests/requests && cd requests
$ hatch grow build
Updated /home/ofek/requests/requests/__version__.py
2.18.4 -> 2.18.4+build.1
$ hatch grow fix
Updated /home/ofek/requests/requests/__version__.py
2.18.4+build.1 -> 2.18.5
$ hatch grow pre
Updated /home/ofek/requests/requests/__version__.py
2.18.5 -> 2.18.5-rc.1
$ hatch grow minor
Updated /home/ofek/requests/requests/__version__.py
2.18.5-rc.1 -> 2.19.0
$ hatch grow major
Updated /home/ofek/requests/requests/__version__.py
2.19.0 -> 3.0.0

Checking code coverage is a breeze:

$ git clone https://github.com/ofek/privy && cd privy
$ hatch test -c
========================= test session starts ==========================
platform linux -- Python 3.5.2, pytest-3.2.1, py-1.4.34, pluggy-0.4.0
rootdir: /home/ofek/privy, inifile:
plugins: xdist-1.20.0, mock-1.6.2, httpbin-0.0.7, forked-0.2, cov-2.5.1
collected 10 items

tests/test_privy.py ..........

====================== 10 passed in 4.34 seconds =======================

Tests completed, checking coverage...

Name                  Stmts   Miss Branch BrPart  Cover   Missing
-----------------------------------------------------------------
privy/__init__.py         1      0      0      0   100%
privy/core.py            30      0      0      0   100%
privy/utils.py           13      0      4      0   100%
tests/__init__.py         0      0      0      0   100%
tests/test_privy.py      57      0      0      0   100%
-----------------------------------------------------------------
TOTAL                   101      0      4      0   100%

Creating virtual envs is incredibly simple:

$ hatch env my-app
Already using interpreter /usr/bin/python3
Successfully saved virtual env `my-app` to `/home/ofek/.virtualenvs/my-app`.
$ hatch env -ll
Virtual environments found in /home/ofek/.virtualenvs:

my-app ->
  Version: 3.5.2
  Implementation: CPython

and using them is just as fluid:

$ which python
/usr/bin/python
$ hatch shell my-app
(my-app) $ which python
/home/ofek/.virtualenvs/my-app/bin/python

Keep reading for so much more!

Hatch is distributed on PyPI as a universal wheel and is available on Linux/macOS and Windows and supports Python 3.5+ and PyPy.

$ pip3 install --user hatch

or simply pip if that already points to a Python 3 version.

If hatch doesn't work on your system immediately after that, please run this command then that command.

After the first installation, you may want to run hatch config --restore to ensure your config file is available.

• Command reference
• Configuration

meta

• next to the snake ascii art, put a hatched egg (blocks 1.0.0)

project creation

• Support AppVeyor and CircleCI.
• Minimally support Mercurial

Commands

• bench - use https://github.com/ionelmc/pytest-benchmark (blocks 1.0.0)
• python - installs the desired version of Python. will work on each platform
• style - maybe not needed. use https://github.com/PyCQA/flake8
• docs - maybe not needed. use https://github.com/sphinx-doc/sphinx/

Hatch is distributed under the terms of both

• Apache License, Version 2.0
• MIT License

at your option.

• All the people who work on Click
• All the people involved in the Python packaging ecosystem
• All the people involved in the pytest ecosystem
• Ned Batchelder, for his Coverage.py is the unsung heroic tool of the Python community. Without it, users would be exposed to more bugs before we are.
• Te-jé Rodgers for bestowing me the name hatch on PyPI

Important changes are emphasized.

• Fixed wheel packaging

• Upgrade userpath dependency
• Fixed shipped test suite

• adduserpath dependency has claimed/been renamed userpath
• Fixed various build errors
• Don't require internet for tests

• Conda can now be installed on every platform with a simple hatch conda \[^,^]/
• new/init commands now enter an interactive mode if no project name is specified!

• testing now supports the use of a project's dedicated virtual env and any dev requirements can be installed in it automatically!

• release now allows the use of custom repositories!
• Fix: cleaning now correctly ignores a project's dedicated virtual env. This behavior can be disabled with the new -nd/--no-detect flag.

• Handle https://bugs.python.org/issue22490

• Hatch now guarantees Windows support via AppVeyor!
• No project detection will occur if a virtual env is active.

• Virtual envs created with env, new, init, and shell commands can now access the system site-packages with the -g/--global-packages flag!
• Improved setup.py generation.

• use renamed to shell, though it will remain as an alias!
• new/init commands now only emit a warning when there is no config file.
• You can now specify what Python to use when creating a virtual env in the new/init command.
• Fix: use no longer requires the env name argument to be . when targeting a project's dedicated virtual env.

View all history