Memory Profiling
Showing 11 of 11 projects
A visualization tool for profiling data that converts stack traces into interactive flame graphs to identify performance bottlenecks.
A real-time, nanosecond-resolution hybrid frame and sampling profiler for games and applications with CPU, GPU, and memory telemetry.
A high-performance CPU, GPU, and memory profiler for Python with AI-powered optimization suggestions.
A lightweight JavaScript library for real-time performance monitoring of frames per second, render time, and memory usage.
A low overhead sampling profiler for Java that avoids safepoint bias and supports CPU, heap, and native memory profiling.
A high-performance memory profiler for Linux that captures every allocation and deallocation with full stack traces.
Middleware that displays a speed badge for every HTML page in Ruby Rack apps, with optional flamegraphs and memory profiling.
A suite of performance benchmarking tools for Ruby on Rails applications to identify memory leaks and optimize speed.
A curated collection of notes and resources about V8 engine internals and Node.js performance optimization.
A simple Go package for enabling CPU, memory, and block profiling with minimal configuration.
A PHP benchmarking framework for performance testing, analogous to PHPUnit but for measuring execution time and memory usage.
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