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This is a python wrapper for the curve25519 library with ed25519 signatures. The C code was pulled from libaxolotl-android. At the moment this wrapper is meant for use by python-axolotl.
Keyrings in this package may have security risks or other implications. These backends were extracted from the main keyring project to make them available for those who wish to employ them, but are discouraged for general production use. Include this module and use its backends at your own risk.
This package provides Python bindings for GLFW OpenGL application development library.
Python-glcontext is a library providing an OpenGL implementation for ModernGL on multiple platforms.
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.
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.
This is the Cython-coded accelerator module for PyOpenGL.
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.
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.
This package provides support for async/await applications without requiring an event loop, useful for creative responsive GUIs.
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.
Pivy provides python bindings for Coin, a 3D graphics library with an Application Programming Interface based on the Open Inventor 2.1 API.
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 Kivy widgets that approximate Google's Material Design spec without sacrificing ease of use or application performance.
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.
This package provides a stable interface for interactions between Snakemake and its software deployment plugins.
Pint is a Python package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units.
This package provides a Python library for calculating Evapotranspiration using various standard methods.
pyjanitor provides a set of data cleaning routines for pandas DataFrames. These routines extend the method chaining API defined by pandas for a subset of its methods. Originally, this package was a port of the R package by the same name and it is inspired by the ease-of-use and expressiveness of the dplyr package.
A Snakemake executor plugin for running srun jobs inside of SLURM jobs (meant for internal use by python-snakemake-executor-plugin-slurm).
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.
This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
The fast-histogram mini-package aims to provide simple and fast histogram functions for regular bins that don't compromise on performance. It doesn't do anything complicated - it just implements a simple histogram algorithm in C and keeps it simple. The aim is to have functions that are fast but also robust and reliable. The result is a 1D histogram function here that is 7-15x faster than numpy.histogram, and a 2D histogram function that is 20-25x faster than numpy.histogram2d.