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Pymunk is a easy-to-use pythonic 2D physics library

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Project description

https://raw.githubusercontent.com/viblo/pymunk/master/docs/src/_static/pymunk_logo_animation.gif

Pymunk is an easy-to-use pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of Munk2D, a fork of the very capable 2D physics library Chipmunk2D.

The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development!

Pymunk has been used with success in many projects, big and small. For example: 3 Pyweek game competition winners, dozens of published scientific papers and even in a self-driving car simulation! See the Showcases section on the Pymunk webpage for some examples.

2007 - 2025, Victor Blomqvist - vb@viblo.se, MIT License

This release is based on the latest Pymunk release (7.2.0), using Munk2D 2.0.1 rev ade7ed72849e60289eefb7a41e79ae6322fefaf3.

Installation

In the normal case Pymunk can be installed from PyPI with pip:

> pip install pymunk

It has one direct dependency, CFFI.

Pymunk can also be installed with conda, from the conda-forge channel:

> conda install -c conda-forge pymunk

For more detailed installation instructions, please see the complete Pymunk documentation.

Example

Quick code example:

import pymunk               # Import pymunk..

space = pymunk.Space()      # Create a Space which contain the simulation
space.gravity = 0,-981      # Set its gravity

body = pymunk.Body()        # Create a Body
body.position = 50,100      # Set the position of the body

poly = pymunk.Poly.create_box(body) # Create a box shape and attach to body
poly.mass = 10              # Set the mass on the shape
space.add(body, poly)       # Add both body and shape to the simulation

print_options = pymunk.SpaceDebugDrawOptions() # For easy printing

for _ in range(100):        # Run simulation 100 steps in total
    space.step(0.02)        # Step the simulation one step forward
    space.debug_draw(print_options) # Print the state of the simulation

This will print (to console) the state of the simulation. For more visual, detailed and advanced examples, take a look at the included demos. They are included in the Pymunk install, in the pymunk.examples subpackage. They can be run directly. To list the examples:

> python -m pymunk.examples -l

And to run one of them:

> python -m pymunk.examples.index_video

Contact & Support

Homepage: http://www.pymunk.org/
Stackoverflow: You can ask questions/browse old ones at Stackoverflow, just look for the Pymunk tag. http://stackoverflow.com/questions/tagged/pymunk
E-Mail: You can email me directly at vb@viblo.se
Issue Tracker: Please use the issue tracker at Github to report any issues you find. This is also the place for feature requests: https://github.com/viblo/pymunk/issues

Regardless of the method you use I will try to answer your questions as soon as I see them. (And if you ask on Stackoverflow other people might help as well!)

Documentation

The full documentation including API reference, showcase of usages and screenshots of examples is available on the Pymunk homepage, http://www.pymunk.org

The Pymunk Vision

“Make 2D physics easy to include in your game”

It is (or is striving to be):

Easy to use - It should be easy to use, no complicated code should be needed to add physics to your game or program.
“Pythonic” - It should not be visible that a c-library (Chipmunk) is in the bottom, it should feel like a Python library (no strange naming, OO, no memory handling and more)
Simple to build & install - You shouldn’t need to have a zillion of libraries installed to make it install, or do a lot of command line tricks.
Multi-platform - Should work on both Windows, *nix and OSX.
Non-intrusive - It should not put restrictions on how you structure your program and not force you to use a special game loop, it should be possible to use with other libraries like Pygame and Pyglet.

Dependencies / Requirements

Basically Pymunk have been made to be as easy to install and distribute as possible, usually pip install will take care of everything for you.

Python (Runs on CPython 3.9 and later and Pypy3)
Chipmunk (Prebuilt and included when using binary wheels)
CFFI (will be installed automatically by Pip)
Setuptools (should be included with Pip)

GCC and friends (optional, you need it to compile Pymunk from source. On windows Visual Studio is required to compile)
Pygame or Pygame-CE (optional, you need it to run the Pygame based demos)
Pyglet (optional, you need it to run the Pyglet based demos)
Matplotlib & Jupyter Notebook (optional, you need it to run the Matplotlib based demos)
Numpy (optional, you need to it run a few demos)
Sphinx & aafigure & sphinx_autodoc_typehints (optional, you need it to build documentation)

Older Pythons

Support for Python 2 (and Python 3.0 - 3.5) was dropped with Pymunk 6.0.
Support for Python 3.6 was dropped with Pymunk 6.5.2.
Support for Python 3.7 was dropped with Pymunk 6.9.0.
Support for Python 3.8 was dropped with Pymunk 7.0.0.

If you use any of these legacy versions of Python, please use an older Pymunk version. It might work on newer Pymunks as well, but it’s not tested, and no wheels are built.

Project details

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Project links

Release history Release notifications | RSS feed

This version

7.2.0

Nov 2, 2025

7.1.0

Jun 29, 2025

7.0.1

Jun 7, 2025

7.0.0

May 28, 2025

6.11.1

Feb 9, 2025

6.11.0

Jan 18, 2025

6.10.0

Dec 22, 2024

6.9.0

Oct 13, 2024

6.8.1

Jun 5, 2024

6.8.0

May 10, 2024

6.7.0

May 1, 2024

6.6.0

Nov 2, 2023

6.5.2

Oct 22, 2023

6.5.1

Jun 26, 2023

6.5.0

Jun 24, 2023

6.4.0

Nov 20, 2022

6.3.0

Nov 5, 2022

6.2.1

Oct 31, 2021

6.2.0

Aug 25, 2021

6.1.0

Aug 11, 2021

6.0.0

Dec 7, 2020

6.0.0.dev1 pre-release

Nov 28, 2020

5.7.0

Sep 16, 2020

5.6.0

Nov 5, 2019

5.5.0

May 4, 2019

5.4.2

Jan 7, 2019

5.4.1

Dec 31, 2018

5.4.0

Oct 25, 2018

5.3.2

Sep 16, 2017

5.3.1

Jul 15, 2017

5.3.0

Jun 11, 2017

5.2.0

Mar 26, 2017

5.1.0

Oct 16, 2016

5.0.0

Jul 17, 2016

4.0.0

Aug 24, 2013

3.0.0

Sep 2, 2012

2.1.0

Dec 4, 2011

1.0.0

Jul 15, 2010

0.8.3

Jul 26, 2009

0.8.2

Apr 22, 2009

0.8.1

Nov 2, 2008

0.8

Jun 15, 2008

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SHA256	`8196efee84ee14bdc25d6ba01ccfcaa7b4303ebea6a985df4a920c8ec2b422cb`
MD5	`506f3e19c3a47045af9f2ea230b6023d`
BLAKE2b-256	`4c634d7a10d3b264be29126c21f1bf940ad22901e3d26c64b314c50d27cc718c`

Algorithm	Hash digest
SHA256	`8afab42a1f2e447662ec3182dbcd3bf796d56924ab1fe6a2043e0a3961c229b3`
MD5	`0e11e591198c9ef5373ad7bbaf3b0c9d`
BLAKE2b-256	`3eab81eadda017fe23dbfb10d8e1d665ab48bdd70719bf2d9592338fa006943d`

Algorithm	Hash digest
SHA256	`4441dbc834449b69268b00d4577e0e179ff25d84414ab2d684e7114fde23edc0`
MD5	`62871dc6100a9ec792b3859697ff8d21`
BLAKE2b-256	`fe4166475096a2582c7d79222b3ad268007053d0815d813bf226292fa3f3b997`

Algorithm	Hash digest
SHA256	`198ff4d54966f4358d7261392af2a434c1334e81573c1c3499badccfec8d3793`
MD5	`38365e5997e34bad76968d8601429782`
BLAKE2b-256	`679de8940c609093f0b1a62f25279aaea5da0ba3aef368d0c04f7d9e48af809b`

Algorithm	Hash digest
SHA256	`24bef8812186504dea8d4d96a3ba5e5732448a2533867945af274aa46b6b82ed`
MD5	`eefaa472fbb0283b70d8a9dafc78359c`
BLAKE2b-256	`8f84172eb75de1e63c3ec90730f8d3eec728d997fdf081e003555e637a29b108`

Algorithm	Hash digest
SHA256	`af5322b0bc7ecfd46c5502c67dc7710c9f3860985598cb7c11007c6ee8d08e0e`
MD5	`fc5359f2ca9286740fde8bf74611fdec`
BLAKE2b-256	`139e7058ed90607afb2821c6d90a38d97c4dff246fc116b48a5ad723b4eb43dd`

Algorithm	Hash digest
SHA256	`a743ea43cc1dd6ba4b48c3d1a0c4891f6ea8c02c2e796014fbbb14ba728c2540`
MD5	`338d86eb53710cd8ea2cbcbc09655c6b`
BLAKE2b-256	`7af4a8e738f6be8ad83e98dc0752cc5039cec9d91726e93da55f24084e23637c`

Algorithm	Hash digest
SHA256	`62aed0426840ee131af71551106a984362f5a6da4da14c72e08c1c10e7bf1b32`
MD5	`c446129b7aeb096870e19a3cdb8e58ec`
BLAKE2b-256	`ce3998c639f9bc9e3d466350141fa3e53723ed1e7db7dfdadf8ba1ad84bfb942`

Algorithm	Hash digest
SHA256	`eb6fc81275e0076156be4d5aa47fcd69ee3d196211869a7051f59ee6f7a42086`
MD5	`5c305b58c424ad5fcadad1d2a66b1d1a`
BLAKE2b-256	`cb2c79717cabe04cdbfbd10b05c1e9dba2aea61726bc492354e8604d6b78ff80`

pymunk 7.2.0

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Algorithm	Hash digest
SHA256	`9eb9b6b28a3c35fb8e8a64a98011877280b8710f39a3cb8448aea75c8e9b8875`
MD5	`c72d95979d68d960e7ca982a36513dc8`
BLAKE2b-256	`b721a7a77d970e2808911de76e0d3bcc1e631a2be6a7d4eb468e91a0a0c04bf3`

Algorithm	Hash digest
SHA256	`612973745e68a9d5340d4c6e3538a5ac7869c7f0ecbf241eb7f4cae83300c5c5`
MD5	`c3167ec68124ffe836e8acf081f7e61d`
BLAKE2b-256	`3c72f91843bdd6ae40f8bbfb9a7126e1f20b7d3899337c230e316cf87ded4156`

Algorithm	Hash digest
SHA256	`c1074ed1b718824b931378fdc6a124613b1372202e962ffc8733379790752cc0`
MD5	`79999cc128f21bfc32f1ce3e9c91245a`
BLAKE2b-256	`d32c0c187a8728bbb0880dced0ba33e55279172969cc336e8d4028a2478dbec3`

Algorithm	Hash digest
SHA256	`006a5c0731cd6e47b0da7f6c1f85cbb7049af90ffbaedf87b6856502e5c8b47b`
MD5	`e2e1ce92edb97c7b9365a4869664d80c`
BLAKE2b-256	`d3b7122edb075504ff709414f2ec8cbfdcbdcb9c7e2d4a188ae389b83f536a37`

Algorithm	Hash digest
SHA256	`4a073698e5d483ba94b0393ad242f6716b4eff6859790df9f3c0ca3262255b1f`
MD5	`9de7878743689509e74414f19af8bbb9`
BLAKE2b-256	`3de12ff42c5bdb137a74b3996848ac3e93edb7aa44eb41b8a84b404361ab9ac8`

Algorithm	Hash digest
SHA256	`4b24986e5539d1d63c5f8394e599c88117b16b7c673a76c2a3e503bce6fa70b3`
MD5	`c37c5170c9c491383b17fb1522564ca5`
BLAKE2b-256	`ff878f0be89a37dba05b38d619a9710b2294dc6773d982d08fb7373328b4cfd0`

Algorithm	Hash digest
SHA256	`3104a5c1ea5c5e8303a63583444a561e00400362215da85f9ab22b8d0a081ea2`
MD5	`59ee72072b5a70e2a6ae409d79e99815`
BLAKE2b-256	`22bccaa3689ea809a6e7645ee49408d61f07871017eb89b3ca1c38cbbe1ddc3b`

Algorithm	Hash digest
SHA256	`187c919618a4ed76aeb9e1c6e19b45fbfecc1f5fe5212f7e9f847b55ea0614f1`
MD5	`8bed56788431bff055ed59e6f08f091d`
BLAKE2b-256	`53216e936168c1e37dcc806f3ffd6008bc8993af90a5a6edc84a9ec196350c09`

Algorithm	Hash digest
SHA256	`0fed84166c1c6cd812b9c86a56f0b0d03712c11403b178a40997e81c916b7b51`
MD5	`a05fad327102a1c91bf75ddc7feb8d71`
BLAKE2b-256	`0fd16cfeb351da4f1c51a7a6c5841e1ca004d750cd9aa20cae0efe846974ad39`

Algorithm	Hash digest
SHA256	`b68aebe6ae78dd4741fb95c7aedd99b1e09a38b81a1bd9d02eda4a4799866c88`
MD5	`80db05f8f86214982fe905a8aaf9ab27`
BLAKE2b-256	`0725a358ce75e99bdabe38a7106e8e310a05d7fbf9357d1dbfe5a5dcb038e6f0`