Coz: Causal Profiling

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Performance monitoring and benchmarking suite

A code analyzer for Julia. No need for additional type annotations.

An operator for running distributed k6 tests.

MLOS is a project to enable autotuning for systems.

A curated collection of publicly available resources on how companies around the world perform load testing

A fully functional browser-based OS simulation with a custom window manager. Engineered to host nested applications and ranked as a top 100 all-time project on Hacker News.

An application-agnostic framework for automated performance testing and analysis.

Julia wrapper for the performance monitoring and benchmarking suite LIKWID.

A component render time benchmarking suite for React

Experiment tracker: organize, visualize, compare and share runs. Removes toil from algorithm/performance R&D and tuning.

🦗 Learn Locust from scratch 🐍

🔎 Rust TUI that finds & AI-fixes Lighthouse image issues (CLS, lazy loading, WebP, srcset) across your entire codebase in seconds.

Learn k6 Series

⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.

An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.

AEM JMeter template is a predefined, AEM web appliactions Test Plan template, ready to use.

A curated, opinionated collection of tools and resources dedicated to Performance Engineering, covering both Observability and Performance Testing.

ContextCore: The ultra-fast Metal context engine for on-device AI. Build optimized context windows in <5ms with perfect recall on Apple Silicon. 🧠⚡️🚀