Performance Analysis
Showing 35 of 35 projects
An automated tool for auditing web page quality, performance, accessibility, SEO, and best practices.
A command-line benchmarking tool that performs statistical analysis across multiple runs to accurately measure and compare shell command execution times.
cAdvisor (Container Advisor) is a daemon that collects, aggregates, and exports resource usage and performance data for running containers.
A real-time, nanosecond-resolution hybrid frame and sampling profiler for games and applications with CPU, GPU, and memory telemetry.
A low-overhead sampling profiler for Python programs that works without restarting or modifying code, written in Rust.
A high-performance CPU, GPU, and memory profiler for Python with AI-powered optimization suggestions.
A high-level tracing language for Linux that leverages eBPF for efficient system and application observability.
A low overhead sampling profiler for Java that avoids safepoint bias and supports CPU, heap, and native memory profiling.
A Clojure library for testing distributed systems with fault injection and correctness verification.
A statistics-driven microbenchmarking library for Rust that provides rigorous performance analysis.
An elegant debug assistant for the Laravel framework providing insight into requests, exceptions, queries, jobs, and more.
A standalone GUI for visualizing and analyzing Linux perf data, featuring flame graphs, timeline filtering, and off-CPU profiling.
A high-performance memory profiler for Linux that captures every allocation and deallocation with full stack traces.
A Java tool that visualizes and analyzes verbose garbage collection logs from multiple JVM vendors to help optimize memory performance.
A macOS app that analyzes and breaks down Swift build times in Xcode projects.
A single-header C++ logging library offering asynchronous low-latency logging, high configurability, and extensive built-in features.
Chrome extension for Rails development that displays request information directly in browser developer tools.
A Go assembly and source viewer that visualizes machine code alongside source code for performance analysis.
A Linux 'net top' tool that groups network bandwidth usage by process instead of protocol or subnet.
A Vue.js component for visualizing PostgreSQL execution plans with interactive graphical representations.
A command-line Swiss Army knife for JVM diagnostics, troubleshooting, and profiling using JMX, JVM attach, and perf counters.
A log analyzer and visualizer for the Java HotSpot JIT compiler, enabling inspection of inlining, hot methods, bytecode, and assembly.
A C/C++ memory profiler and leak finder with time-based history tracking for Windows, PlayStation, Nintendo Switch, Android, and other platforms.
A Perl script that analyzes PostgreSQL database configuration and provides tuning recommendations.
A retired Kubernetes project for collecting and analyzing compute resource usage and performance metrics from container clusters.
A set of libraries, tools, and visualizers for tracing and investigating performance in complex web applications.
A curated collection of notes and resources about V8 engine internals and Node.js performance optimization.
A headless Chromium-based modular web performance metrics collector for in-depth frontend analysis.
A Java framework that intercepts and logs database JDBC transactions without requiring code changes.
Analyzes web pages and suggests performance improvements based on Yahoo's high-performance web rules.
A simple Go package for enabling CPU, memory, and block profiling with minimal configuration.
A performance runner that collects detailed traces and reports for JavaScript libraries and applications using Chrome.
A simple, fast, accurate single-header microbenchmarking library for C++11/14/17/20.
Generates interactive flamegraphs from PostgreSQL EXPLAIN ANALYZE output to visualize query performance.
Visualize and analyze your React Native bundle to identify packages that increase its size.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.