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A modern project, package, and virtual env manager for Python

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Hatch

Latest PyPI version Travis CI Codecov Supported Python versions License

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:

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

Features

  • 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

Usage

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 use my-app
(my-app) $ which python
/home/ofek/.virtualenvs/my-app/bin/python

Keep reading for so much more!

Installation

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.

Guide

Contributing

TODO

meta
  • start using AppVeyor
  • next to the snake ascii art, put a hatched egg (blocks 1.0.0)
project creation
Commands

License

Hatch is distributed under the terms of both

at your option.

Credits

History

Important changes are emphasized.

master

  • 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.

0.14.0

  • new/init commands now create a dedicated virtual env for the project. This can be disabled with the new -ne/--no-env flag.
  • install, uninstall, update, and use commands are now able to detect and use a project's dedicated virtual env!
  • Removed: redundant optional argument for new/init commands.

0.13.0

  • Support for recent versions of the fish shell!
  • Added --admin flag to install, uninstall, and update commands to indicate elevated privileges have already been given.
  • Basic support for csh/tcsh shells.

0.12.0

  • You can now specify what Python to use when creating a temporary virtual env in the use command.
  • Added a -l/--local shortcut flag to the commands grow, test, clean, build, and release. This allows you to omit the name of a local package if it is the only one.
  • More informative output, including a new color!

0.11.0

  • Package review for Fedora begins! (now approved)
  • clean now also removes optimized bytecode files (*.pyo).

0.10.0

  • test is now environment-aware by default.
  • Faster virtual environment creation!
  • Full xonsh support :)
  • More informative output and coloring!

View all history

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A modern project, package, and virtual env manager for Python

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