Cython-based Python bindings for dear imgui

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pyimgui

Python bindings for the amazing dear imgui C++ library - a Bloat-free Immediate Mode Graphical User Interface.

Documentation: pyimgui.readthedocs.io

Installation

pyimgui is available on PyPI so you can easily install it with pip:

pip install imgui[full]

Above command will install imgui package with additional dependencies for all built-in rendering backend integrations (pygame, cocos2d, etc.). If you don't want to install all additional dependencies you can always use bare pip install imgui command or select a specific set of extra requirements:

for pygame backend use pip install imgui[pygame]
for GLFW3 backend use pip install imgui[glfw]
for SDL2 backend use pip install imgui[sdl2]
for Cocos2d backend use pip install imgui[cocos2d]
for pyglet backend use pip install imgui[pyglet]

Package is distributed in form of built wheels so it does not require compilation on most operating systems. For more details about compatibility with diffferent OSes and Python versions see the Project ditribution section of this documentation page.

Project status

The imgui package provides support for the majority of core ImGui widgets and functionalities. Some low-level API elements and complex widgets (like plots) may be missing. We are working hard to provide 100% feature mapping of the core ImGui library. The completion badge shows up-to-date status of that goal.

The current version of pyimgui is based on an old version of DearImgui and consequently doesn't have its most recent fixes and functionalities. Version 2.0 of pyimgui is under development and will support recent features. If you are interested, you can look at the corresponding branch.

Project distribution

This project has a working build pipeline on Appveyor and Travis. It builds succesfully for all major operating systems with different architectures:

Windows (32bit & 64bit)
Linux (32bit & 64bit)
OS X (universal build)

Right now we are ready to shipping the built wheels for these three systems (even for Linux using manylinux1 wheels). The build pipeline covers multiple Python versions:

py27
py33 (macOS wheel not available on PyPI)
py34
py35
py36
py37
py38
py39

pyimgui provides documentation with multiple visual examples. Thanks to custom Sphinx extensions we are able to render GUI examples off screen directly from docstring snippets. These examples work also as automated functional tests. Documentation is hosted on pyimgui.readthedocs.io.

If none of these wheels work in your environment you can install the imgui package by compiling it directly from sdist distribution using one of following commands:

# will install Cython as extra dependency and compile from Cython sources
pip install imgui[Cython] --no-binary imgui

# will compile from pre-generated C++ sources
pip install imgui --no-binary imgui

Development tips

We have tried hard to make the process of bootstrapping this project as simple as possible.

In order to build and install project locally ,ake sure you have created and activated virtual environment using virtualenv or python -m venv (for newer Python releases). Then you can just run:

make build

This command will bootstrap whole environment (pull git submodules, install dev requirements etc.) and build the project. make will automatically install imgui in the development/editable mode. Then you can run some examples found in the doc/examples directory in order to verify if project is working.

For building documentation and running tests you will need some additional requirements from doc/requirements-test.txt.

You can run tests with:

py.test

If you have any problems with building or installing the project just ask us for help by creating GitHub issue.

Project details

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Release history Release notifications | RSS feed

2.0.0

Apr 19, 2023

1.4.1

Nov 10, 2021

This version

1.4.0

Oct 31, 2021

1.4.0rc1 pre-release

Oct 31, 2021

1.3.0

Dec 16, 2020

1.3.0rc3 pre-release

Dec 16, 2020

1.3.0rc2 pre-release

Dec 16, 2020

1.3.0rc1 pre-release

Dec 16, 2020

1.2.0

Jul 20, 2020

1.1.0

Nov 22, 2019

1.0.0

May 19, 2019

1.0.0a2 pre-release

Nov 2, 2018

1.0.0a1 pre-release

May 30, 2018

0.1.0

Apr 18, 2018

0.0.3

Apr 6, 2018

0.0.2

Aug 11, 2017

0.0.1

Aug 10, 2017

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Algorithm	Hash digest
SHA256	`742246832bc0c63301bb63fc7eebe6aee083b9dda0ad27049969cbb44f54975e`
MD5	`81209a72f043ccb8e081d592ec1cf5b1`
BLAKE2b-256	`1214c15ef1c741537f18fad97d4d242c72a9cc91a148417c8b0db5376a365583`

Algorithm	Hash digest
SHA256	`bdc2d7acbb7ceebb4a455d37df02ab71eabf2c19887cabf8bd3af846c0986558`
MD5	`1dcbbc4a67858bb193390ae788ae01ac`
BLAKE2b-256	`dcc5e449c2951ec3c885ee6f3668d82e7f8be254ecd95078fa9071ce70912ee1`

imgui 1.4.0

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pyimgui

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Algorithm	Hash digest
SHA256	`051a30c5b5b1751c2a9e4b5dba869d8c407e11afa5cf4a612c6e84fa87ef5ae3`
MD5	`11267fc28db6dc7b1008d170b859e18d`
BLAKE2b-256	`35a43405841e4681ee314d1e334c97defcfe7fd9fd1bf73130b7353fecac86b0`

Algorithm	Hash digest
SHA256	`7ba8af06aae36de09f147b217f5891962fc7b9389c900d60362d0bffd6e965a7`
MD5	`2ef790f911f683045a04708dd7233a73`
BLAKE2b-256	`254d925ef20a9a15aab59b355e37e515886dd78a886d2ecc7eb1ffddf36806c7`

Algorithm	Hash digest
SHA256	`cd69f2a6bfa506cfb2b14dbc9852001ea0bb09f2e096a0b8176df4a31ba90327`
MD5	`a95131f589239b6e88aacc4154a86269`
BLAKE2b-256	`da82061847776afcf88fb31103eb60842060d07a574c5d17d13cb9d346ee3e80`

Algorithm	Hash digest
SHA256	`dd638524020fe6b5ea21c54df7473e123abbd663de4def460747a50de8daddd9`
MD5	`9d0e1e024ec829921728a95ec7338d79`
BLAKE2b-256	`b40b49265d220327b274407c0f63e435c778ed1084f4d3bb386b6e76df9244b4`

Algorithm	Hash digest
SHA256	`76f1f407c2dfcccd51f2524bff6f05681bd4e9d5d8ab200578418527bd56763b`
MD5	`898124be52e4ef1c030319366f740ac2`
BLAKE2b-256	`57827fe9402c53a8570649ead83e4065c245b5bd9c9cd591a4535ebe59a5f8cf`

Algorithm	Hash digest
SHA256	`382a098906ba31fbabada465f9ee7b63d3e3d9de611e4399e0f4b533ef83d1a4`
MD5	`c8bb991e10b699e980e18c86c0e8c1cf`
BLAKE2b-256	`bcbb1725d8e2240d7748ba0c53c8847858d37fb37925147b3f03b0fea98b1aa0`

Algorithm	Hash digest
SHA256	`ea6bbc2d383acc0965ffd4c38882c32c1bfa43822e3ca7ffa8cc5b3f3c5fcb6f`
MD5	`1b90cecd8c9a2b4536517a11ca2945ca`
BLAKE2b-256	`6263fa85f607eaa1dbab85604dbd22a38ee645fc00855f387c55240b52c03c3f`

Algorithm	Hash digest
SHA256	`6acc606d47dd05ff4f42061d2f2e310f436e72c08de40c3fe152345f04452880`
MD5	`82fec3d6ddf18a40ff7c03fc81865e78`
BLAKE2b-256	`c1aaac8fe7eaf2b1e09d11941f1aa12f5fd370a6096a30fd1b3c6b214a3d838a`

Algorithm	Hash digest
SHA256	`cd739ec77c63b8d2290a63f5e7a4c54cd1cb389d5795d73d47bff5a35a62c8ae`
MD5	`00289dd0941fe3350650402697db79df`
BLAKE2b-256	`78a764cda5d04e24df395879b7c1a1ef74a7bbfeaff01bcecbe9d19aa14f6ddf`

Algorithm	Hash digest
SHA256	`77525b882a5d955e79ec3d37451b0b7b7b6c0c5a767276991620c0c9f46a7540`
MD5	`51c57fa4bb924b6850a806980e089662`
BLAKE2b-256	`bf49d6d475edbce4d862bac9b6ead3ed02eaa7bff307abe64b33248d2cf96ee9`