pprof is a tool for visualization and analysis of profiling data in protocol buffer format.
pprof solves the problem of making sense of raw profiling samples by reading profile.proto format data and generating human-readable reports. It works by accepting profiling data from local files or over HTTP, then rendering that data as text reports, interactive command-line sessions, or graphical visualizations using the dot package. When profiles contain machine addresses, pprof can symbolize them using native binutils tools like addr2line and nm, converting raw memory addresses into meaningful function names and source locations.
Developers should choose pprof if they need to analyze statistical profiling data from their applications. It suits projects where you have profiling samples in protocol buffer format and want flexible output options ranging from simple text summaries to detailed call graphs. The tool integrates with Linux perf through a separate converter tool, and supports viewing disassembly from Windows-compiled Go binaries when LLVM or GCC tooling is available. pprof offers both command-line and web-based interfaces, allowing you to work interactively or programmatically depending on your workflow.
The project maintains active engagement with its codebase through regular updates and refinements to its core functionality. Development includes ongoing work to improve visualization capabilities and expand compatibility across different profiling data sources and platforms.
