Showing 681-700 of 1,001 projects
Apptainer is an open-source container system for Linux that enables reproducible, portable, and secure high-performance computing (HPC) environments.
A high-performance native picker component for React Native apps.
An easy-to-use and high-performance AI deployment framework for developers
SharpDX is a managed DirectX API for .NET development, providing bindings to the DirectX API for building high-performance games and multimedia applications.
An async Python 3.6+ web scraping micro-framework based on asyncio for building high-performance crawlers and spiders.
A high-performance, highly available, and distributed time series database written in Rust.
A high-performance SQL proxy and sharding engine for MySQL/MariaDB, built on Java NIO and Calcite.
PHP Micro Service Framework for building scalable, high-performance microservices with Swoole.
A high-performance Fast Fourier Transform (FFT) library for Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal.
A high-performance, concurrent hash table library written in C++.
Cassowary/JS is a high-performance constraint solving library for building UI layouts and interactions.
langcc is a next-generation compiler compiler written in C++ for building high-performance language tools.
A high-performance, middleware-oriented C++14 web framework for building efficient and scalable backend services.
A high-performance named-entity recognition library built with state-of-the-art neural networks.
A lightweight, fast and reliable SOCKS5 tunnel library for various platforms.
PaxosStore is a high-performance, distributed database solution built for large-scale applications.
JPHP is an implementation of PHP on the Java Virtual Machine, providing a high-performance, extensible PHP runtime.
TuGraph-DB is a high-performance graph database built for fast and efficient graph data processing.
This Go-based project provides a high-performance, scalable system for simulating WeChat's 2015 red packet scenario with 14M QPS.
Highly optimized library for accelerating neural network inference on multi-core CPUs
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