This package provides Kivy widgets that approximate Google's Material Design spec without sacrificing ease of use or application performance.

Pyglet is a Python library for developing games and other visually-rich applications. It supports windowing, user interface event handling, Joysticks, OpenGL graphics, loading images and videos, playing sounds and music.

VisPy is a high-performance interactive 2D/3D data visualization library leveraging the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets.

Python-glcontext is a library providing an OpenGL implementation for ModernGL on multiple platforms.

This package provides async versions of Kivy functions to avoid the callback-heavy mode of interaction typical in some Kivy applications.

Kivy is a software library for rapid development of hardware-accelerated multitouch applications.

Pivy provides python bindings for Coin, a 3D graphics library with an Application Programming Interface based on the Open Inventor 2.1 API.

Pyglet is a Python library for developing games and other visually-rich applications. It supports windowing, user interface event handling, Joysticks, OpenGL graphics, loading images and videos, playing sounds and music.

PySDL2 is a pure Python wrapper around the SDL2,SDL2_mixer, SDL2_image, SDL2_ttf, and SDL2_gfx libraries. Instead of relying on C code, it uses the built-in ctypes module to interface with SDL2, and provides simple Python classes and wrappers for common SDL2 functionality.

This is the Cython-coded accelerator module for PyOpenGL.

PyOpenGL is the most common cross platform Python binding to OpenGL and related APIs. The binding is created using the standard ctypes library.

This package provides Python bindings for GLFW OpenGL application development library.

This package provides a framework for building scientific applications. It aims to bring state of the art software design practices to scientific computing, with the goal of providing a strong skeleton on which to build scientific codes by steering the implementation towards usability and maintainability.

QuTiP is a library for simulating the dynamics of closed and open quantum systems. It aims to provide numerical simulations of a wide variety of quantum mechanical problems, including those with Hamiltonians and/or collapse operators with arbitrary time-dependence, commonly found in a wide range of physics applications.

This package provides miscellaneous tools for data analysis and scientific computing.

This package provides encoding and decoding routines that enable the serialization and deserialization of numerical and array data types provided by numpy using the highly efficient msgpack format. Serialization of Python's native complex data types is also supported.

climin is a Python package for optimization, heavily biased to machine learning scenarios. It works on top of numpy and (partially) gnumpy.

This package provides a Python library for manipulating indices of ndarrays.

This package lets you generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF. Each scale is a scientific Python Xarray spatial-image Dataset, organized into nodes of an Xarray Datatree.

Pyzo is a Python IDE focused on interactivity and introspection,which makes it very suitable for scientific computing. Its practical design is aimed at simplicity and efficiency.

It consists of two main components, the editor and the shell, and uses a set of pluggable tools to help the programmer in various ways. Some example tools are source structure, project manager, interactive help, workspace...

This package provides a domain-specific language for modeling convex optimization problems in Python.

This package implements a functionality to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.

This package provides a Python library for calculating Evapotranspiration using various standard methods.

Snakemake aims to reduce the complexity of creating workflows by providing a clean and modern domain specific specification language (DSL) in Python style, together with a fast and comfortable execution environment.