There are 4 repositories under pypy topic.
Virtual Python Environment builder
Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
⏰ Modern datetime library for Python
vmprof - a statistical program profiler
A high-performance Python port of libtcod. Includes the libtcodpy module for backwards compatibility with older projects.
A Fast and Safe Python based on PyPy
Multiplayer Rating System. No Friction.
PyTurboJPEG is a highly optimized Python wrapper of libjpeg-turbo (TurboJPEG API) which supports x86 and ARM architecture.
Native, async Python gRPC client and server implementation supporting asyncio, uvloop, and trio
Example code for interfacing with C and C++ from Python using Cython, SWIG, CFFI, PyPy, and pybind11
Native, "direct" Python bindings (interface) and misc tools for a custom implementation of OpenDSS (EPRI Distribution System Simulator). Based on CFFI, DSS C-API, aiming for full COM API-level compatibility on Windows, Linux and MacOS, while providing various extensions.
Record and play back keyboard and mouse input
400k orders per second at a 2.5 μs (avg.) latency order matching engine in python
Python implementation of Trip-Based public transit routing algorithm
:page_with_curl: System-wide autocompleting that learns what you type and works in any app! (also slightly scary maybe don't use this...)
Lightweight CFFI-based Python bindings to cmark library (CommonMark implementation in C).
BountyDork is a comprehensive tool designed for penetration testers and cybersecurity researchers. It integrates various modules for performing attacks, reporting, and managing VPN/proxy settings, making it an indispensable asset for any security professional.
A basic and easier to use version of the Copenheimer bot created by the 5th Column from 2B2T that you can easily and simply execute using python made for educational purposes. Especially since you don't have to deal with anything like build systems, compilation, and the exact same thing on repeat for dependencies.
Nim integration for Python PIP, install Nim via PIP, write Python modules using Nim
Meta-project for ZTK libraries.