Showing 7 of 7 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.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.