Open-source benchmarking software
817 open-source libraries, tools and applications tagged benchmarking, ranked by how closely benchmarking is their primary purpose, then by adoption and maintenance health. Each entry links to a page with sources, use cases and when to choose or avoid it.
817 products, primary matches first, then adoption-weighted; health v2 shown.
| Product | Health v2 | Stars | Maturity |
|---|---|---|---|
| Gumpest/YOLOv5-Multibackbone-Compression A YOLOv5-based toolbox for swapping in lightweight or high-accuracy backbones (TPH-YOLOv5, GhostNet, ShuffleNetV2, MobileNetV3-Small, Effic… | 32 | 1020 | maintenance |
| allegro/allRank allRank is a PyTorch-based framework for training neural learning-to-rank (LTR) models. It provides pointwise, pairwise, and listwise loss … | 32 | 1011 | maintenance |
| yizhang7210/liang Liang is a Python library for specifying non-functional requirements like latency thresholds directly in function interfaces via decorators… | 32 | 1010 | maintenance |
| PhyAgentOS/PhyAgentOS-core PhyAgentOS is a self-evolving embodied AI operating system built on agentic workflows, providing a session-centered runtime that decouples … | 68 | 2511 | experimental |
| Future AGI Future AGI is an open-source, self-hostable platform for evaluating, observing, and improving LLM and AI agent applications, combining trac… | 77 | 2146 | experimental |
| YiVal/YiVal YiVal is an open-source Python framework that automatically tunes prompts, RAG configurations, and model parameters for generative AI appli… | 20 | 2137 | experimental |
| EthicalML/xai XAI is a Python library from the Institute for Ethical AI & ML that provides tools for analysing and evaluating machine learning datasets a… | 59 | 1267 | experimental |
| moonbitlang/core moonbitlang/core is the standard library for the MoonBit programming language, released alongside the compiler. It provides builtin types, … | 71 | 1226 | experimental |
| trotsky1997/MathBlackBox MathBlackBox (MCTSr) is a Python research implementation of Monte Carlo Tree Self-Refine, an algorithm that combines MCTS with LLM self-ref… | 24 | 1032 | experimental |
| OptiMate OptiMate is a collection of Python libraries from Nebuly AI for optimizing AI model performance, including Speedster for inference accelera… | 23 | 8328 | abandoned |
| Glimpse Glimpse is an open-source diagnostics platform for ASP.NET web applications that inspects requests in real time, profiling server-side acti… | 10 | 2310 | abandoned |
| IntelLabs/fastRAG fastRAG is a Python research framework for building efficient, optimized retrieval-augmented generation (RAG) pipelines, built on Haystack … | 10 | 1786 | abandoned |
| tomlepaine/fast-wavenet A Python/TensorFlow library implementing an efficient O(L) generation algorithm for Wavenet-style autoregressive models using dynamic progr… | 32 | 1769 | abandoned |
| openresty/openresty-systemtap-toolkit A collection of SystemTap-based real-time analysis and diagnostics tools for OpenResty, NGINX, LuaJIT, and ngx_lua. It provides scripts for… | 32 | 1668 | abandoned |
| ELS-RD/kernl Kernl is an open-source PyTorch model optimization library that accelerates transformer inference on GPUs with a single line of code, using… | 10 | 1583 | abandoned |
| Atropos Atropos is a Python framework from Nous Research for building reinforcement learning environments that collect and evaluate LLM trajectorie… | 10 | 1351 | abandoned |
| coreylynch/async-rl A TensorFlow + Keras implementation of asynchronous 1-step Q-learning from the DeepMind 'Asynchronous Methods for Deep Reinforcement Learni… | 32 | 1003 | abandoned |
← prev page 9 / 9