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gprof2dot is a performance graph generator and visualizer that converts gprof GNU profiler execution profiles into Graphviz DOT files. It transforms raw profiler data into a directed graph to map function call hierarchies and identify software bottlenecks. The tool employs heuristic-based color mapping to highlight performance hotspots by assigning colors to nodes and edges based on execution time percentages. It also supports differential profile analysis, allowing for the comparison of two distinct execution graphs to identify changes in timing and call counts between runs. To improve visu
Django Silk is a profiling and inspection toolset for Django applications designed to capture SQL queries, HTTP request data, and execution timing for diagnostics. It functions as a performance profiler and debugging middleware that records runtime execution data to provide a comprehensive overview of application behavior. The system includes a database profiler for identifying slow operations through detailed timing data and an HTTP request inspector for reviewing headers, bodies, and network traffic via a web interface. It allows for the reproduction of specific server requests through gene
gops is a command-line diagnostic toolset for monitoring, profiling, and managing the runtime state of active Go applications. It functions as a runtime diagnostic tool that provides a focused interface for analyzing memory, profiling performance, and monitoring the health of running processes. The tool provides a set of specialized utilities including a performance profiler for capturing CPU and heap profiles, a memory analyzer for identifying leaks and triggering garbage collection, and a process monitor for discovering running binaries and visualizing process hierarchies. The project cove
Visualize call graph of a Go program using Graphviz
pprof is a tool for visualizing and analyzing performance profiling data. It converts sampled call stacks into a directed graph rendered as an SVG, enabling visual identification of execution hotspots. The tool also parses Linux perf.data files, converting them into an internal profile representation for further analysis.
The main features of google/pprof are: Performance Hotspot Report Generators, Call Stack, Perf Data Parsers, Profiling Data Dashboards, Weighted Stack Sorters, Call Graph Visualizers, Performance Profile Shells, Perf Data Converters.
Open-source alternatives to google/pprof include: jrfonseca/gprof2dot — gprof2dot is a performance graph generator and visualizer that converts gprof GNU profiler execution profiles into… jazzband/django-silk — Django Silk is a profiling and inspection toolset for Django applications designed to capture SQL queries, HTTP… google/gops — gops is a command-line diagnostic toolset for monitoring, profiling, and managing the runtime state of active Go… ondrajz/go-callvis — Visualize call graph of a Go program using Graphviz. jlfwong/speedscope — Speedscope is a web-based performance profiler that visualizes profiling data through interactive flamegraphs and… geektutu/high-performance-go — This project is a comprehensive performance programming guide and reference for the Go language, focusing on runtime…