Automate running Lighthouse for every commit, viewing the changes, and preventing regressions
- lighthouse
- webperf
47,133 repositories indexed
1–22 of 22 · Most stars
Automate running Lighthouse for every commit, viewing the changes, and preventing regressions
Easy benchmarking of all publicly accessible implementations of convnets
Performance monitoring and benchmarking suite
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.).
Provides iteration per second benchmarking for Ruby
Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
Benchmarks of Go serialization methods
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Performance benchmarking and testing framework for .NET applications :chart_with_upwards_trend:
Continuous Regression Testing for Engineering Teams
Browser automation engine benchmark - Test bypass rates, performance & stealth against Cloudflare, DataDome, reCAPTCHA, Kasada, Imperva, Akamai, PerimeterX and other bot detection systems. Find the best browser for scraping.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
Performance benchmark framework for C++ with nanoseconds measure precision
A simple Swift package for measuring and reporting the time taken for operations
A simple framework for compile-time benchmarks
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
A simple C++ 03/11/etc timer class for ~microsecond-precision cross-platform benchmarking. The implementation is as limited and as simple as possible to create the lowest amount of overhead.
Go(lang) benchmarks - (measure the speed of golang)
Benchmark harness and data: QEMU emulation vs native Buildx nodes for multi-arch container builds.
Benchmarks of common basic operations for the Go language.
Benchmark recording of an ember app with running with 2 versions of Ember.
JChav is a way to see the change in performance of your web application over time, by running a benchmark test for each build you produce.