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OMEMO cryptography library that was forked from python-axolotl.
This package is a set of Python bindings for the scrypt key derivation function.
python-secretstorage provides a way for securely storing passwords and other secrets. It uses D-Bus Secret Service API that is supported by GNOME Keyring (since version 2.30) and KSecretsService. SecretStorage supports most of the functions provided by Secret Service, including creating and deleting items and collections, editing items, locking and unlocking collections (asynchronous unlocking is also supported).
This Python package is a high-level wrapper for Kerberos (GSSAPI) operations. The goal is to avoid having to build a module that wraps the entire Kerberos.framework, and instead offer a limited set of functions that do what is needed for client/server Kerberos authentication based on <http://www.ietf.org/rfc/rfc4559.txt>.
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.
Certipy was made to simplify the certificate creation process. To that end, certipy exposes methods for creating and managing certificate authorities, certificates, signing and building trust bundles.
Currently, PGPy can load keys and signatures of all kinds in both ASCII armored and binary formats.
It can create and verify RSA, DSA, and ECDSA signatures, at the moment. It can also encrypt and decrypt messages using RSA and ECDH.
service_identity aspires to give you all the tools you need for verifying whether a certificate is valid for the intended purposes. In the simplest case, this means host name verification. However, service_identity implements RFC 6125 fully and plans to add other relevant RFCs too.
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.
Kivy is a software library for rapid development of hardware-accelerated multitouch applications.
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.
Python-glcontext is a library providing an OpenGL implementation for ModernGL on multiple platforms.
This package provides Kivy widgets that approximate Google's Material Design spec without sacrificing ease of use or application performance.
This is the Cython-coded accelerator module for PyOpenGL.
Pivy provides python bindings for Coin, a 3D graphics library with an Application Programming Interface based on the Open Inventor 2.1 API.
This package provides Python bindings for GLFW OpenGL application development library.
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.
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.
PyOpenGL is the most common cross platform Python binding to OpenGL and related APIs. The binding is created using the standard ctypes library.
meshzoo is a mesh generator for finite element or finite volume computations for simple domains like regular polygons, disks, spheres, cubes, etc.
This package provides a Python library for calculating Evapotranspiration using various standard methods.
Pythran is an ahead of time compiler for a subset of the Python language, with a focus on scientific computing. It takes a Python module annotated with a few interface descriptions and turns it into a native Python module with the same interface, but (hopefully) faster.