Cpu Profiling
Showing 12 of 12 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 low overhead sampling profiler for Java that avoids safepoint bias and supports CPU, heap, and native memory profiling.
A standalone GUI for visualizing and analyzing Linux perf data, featuring flame graphs, timeline filtering, and off-CPU profiling.
A sampling call-stack profiler for Ruby 2.2+ that collects performance data with low overhead.
A simple Go package for enabling CPU, memory, and block profiling with minimal configuration.
A wrapper for Linux perf that enables profiling of Java programs with system and JVM stack traces combined.
A real-time profiler for Ruby applications with a GUI client for visualizing performance data.
A JVM agent profiler that sends memory, CPU tracing, and CPU load metrics to StatsD, InfluxDB, and other backends.
A CLI tool to capture CPU, memory, coverage, and other performance profiles for Node.js apps in Chrome DevTools format.
A script that generates CPU FlameGraphs from perf sampling data using DWARF debug information.
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