Hundreds of models & providers. One command to find what runs on your hardware.
- llm
- skill
- localai
- gguf
81,588 visible repositories in the index
1–24 of 33 · Most stars
Hundreds of models & providers. One command to find what runs on your hardware.
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro
minitest provides a complete suite of testing facilities supporting TDD, BDD, and benchmarking.
The Phoronix Test Suite open-source, cross-platform automated testing/benchmarking software.
Go faster, off the Rails - Benchmarks for your whole Rails app
Some benchmarks of different languages
VPS Fusion Monster — Server Benchmark (Go Edition) Aims to be the most comprehensive and fastest server benchmarking project, built in Go with zero external dependencies. VPS 融合怪服务器测评项目 · Go 版本 致力于成为最全面和最快速的服务器测评项目,使用 Go 语言实现,零环境依赖零广告
C/C++ JSON parser/generator benchmark
PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.
An objective comparison of multiple frameworks that allow us to "transform" our web apps to desktop applications.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Performance monitoring and benchmarking suite
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
benchmarks for implementation of servers which support 1 million connections
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
Demo of running NNs across different frameworks
🏃♂️🏃♀️🏃 JS minification benchmarks: babel-minify, esbuild, terser, uglify-js, swc, google closure compiler, tdewolff/minify, oxc-minify
TranslatedUsing dense-compute cards to accelerate sparse, large-VRAM hosts, where the hosts include AI Max+ 395, M3 512G, DGX Spark, and others.
Cinebench 2026 Standalone Desktop Setup with Pre-Activated Features
HammerDB: The industry standard open-source database benchmark
Cinebench 2026 Standalone Desktop Setup with Pre-Configured Components
AIDA-64-Extreme: Pre-Activated Desktop Edition with Full Feature Set