Pprof

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.

Beyond visualization, pprof provides a command-line REPL for interactive exploration of profiling data, allowing users to filter, refine, and query performance information on the fly. It generates sorted text reports that highlight the most resource-intensive call stacks, and it can serve a local web dashboard for browsing and analyzing profiling data through an interactive interface.

The tool supports analysis of CPU and memory profiling data, including Go runtime performance profiles, presenting them as call graphs and flame graphs. It ingests data from sources like Linux perf, and offers both a shell-based and web-based interface for exploring and visualizing performance metrics.

Features

Performance Hotspot Report Generators - Generates text reports sorted by execution time to identify the most resource-intensive call stacks.
Call Stack - Generates sorted text reports pinpointing the most resource-intensive call stacks.
Perf Data Parsers - Converts Linux perf.data files into internal profiling profiles for downstream analysis.
Profiling Data Dashboards - Serves a local web dashboard for interactive browsing and analysis of profiling data.
Weighted Stack Sorters - Generates flat text reports sorted by cumulative execution time to highlight hotspots.
Call Graph Visualizers - Generates SVG call graphs from sampled call stacks to visually identify execution hotspots.
Performance Profile Shells - Provides a command-line shell for interactive querying and refinement of profiling data.
Profiling Data Dashboards - Serves profiling data through a local web interface for browsing and analyzing performance metrics.
Perf Data Converters - Converts and analyzes Linux perf.data files into structured performance profiles.
Perf Data Readers - Reads and converts Linux perf.data files into profiling profiles for analysis.
Go Runtime Profilers - Reads Go runtime profiling data and presents it as call graphs and flame graphs.
Profiling Data Visualizations - Explores and analyzes CPU, memory, and other profiling data through interactive graphs and reports.
Interactive Shells - Provides a command-line REPL for interactive filtering and refinement of profiling data.
Debugging And Profiling - Official performance profiling tool.
Performance and Profiling - Visualizes and analyzes CPU and memory performance profiles.
Performance Benchmarking - Profiles CPU and memory usage of Go programs.

Historial de estrellas

googlepprof

Name: google/pprof
Author: google

View on GitHub

9,212 estrellas663 forksGoApache-2.04 vistas

Pprof

Features

Performance Hotspot Report Generators - Generates text reports sorted by execution time to identify the most resource-intensive call stacks.
Call Stack - Generates sorted text reports pinpointing the most resource-intensive call stacks.
Perf Data Parsers - Converts Linux perf.data files into internal profiling profiles for downstream analysis.
Profiling Data Dashboards - Serves a local web dashboard for interactive browsing and analysis of profiling data.
Weighted Stack Sorters - Generates flat text reports sorted by cumulative execution time to highlight hotspots.
Call Graph Visualizers - Generates SVG call graphs from sampled call stacks to visually identify execution hotspots.
Performance Profile Shells - Provides a command-line shell for interactive querying and refinement of profiling data.
Profiling Data Dashboards - Serves profiling data through a local web interface for browsing and analyzing performance metrics.
Perf Data Converters - Converts and analyzes Linux perf.data files into structured performance profiles.
Perf Data Readers - Reads and converts Linux perf.data files into profiling profiles for analysis.
Go Runtime Profilers - Reads Go runtime profiling data and presents it as call graphs and flame graphs.
Profiling Data Visualizations - Explores and analyzes CPU, memory, and other profiling data through interactive graphs and reports.
Interactive Shells - Provides a command-line REPL for interactive filtering and refinement of profiling data.
Debugging And Profiling - Official performance profiling tool.
Performance and Profiling - Visualizes and analyzes CPU and memory performance profiles.
Performance Benchmarking - Profiles CPU and memory usage of Go programs.

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Preguntas frecuentes

¿Qué hace google/pprof?

¿Cuáles son las características principales de google/pprof?

Las características principales de google/pprof son: Performance Hotspot Report Generators, Call Stack, Perf Data Parsers, Profiling Data Dashboards, Weighted Stack Sorters, Call Graph Visualizers, Performance Profile Shells, Perf Data Converters.

¿Qué alternativas de código abierto existen para google/pprof?

Las alternativas de código abierto para google/pprof incluyen: 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…