yingwei13mei / awesome-performance-tools

Tools to analysis performance

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Awesome-performance-tools

A curated list tools for kinds of programming languages to analysis system performance.

Python

  • cProfile - cProfile and profile provide deterministic profiling of Python programs. A profile is a set of statistics that describes how often and for how long various parts of the program executed
  • pyinstrument - Pyinstrument is a Python profiler. A profiler is a tool to help you optimize your code - make it faster
  • line_profiler - A module for doing line-by-line profiling of functions
  • memory_profiler - Monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs
  • psutil - A cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors)
  • py-spy - A sampling profiler for Python programs, extremely low overhead: it is written in Rust for speed
  • runsnakerun - Snakerunner is a GUI viewer for Python profiling runs. It provides exorability and overall visualization of the call tree and package/module structures
  • py-Flame - Pyflame is a high performance profiling tool that generates flame graphs for Python
  • vprof - vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memory usage
  • PyCharm Profiler - A performance profiling tool built into the PyCharm Integrated Development Environment (IDE)
  • SnakeViz - SnakeViz is a browser based graphical viewer for the output of Python’s cProfile module and an alternative to using the standard library pstats module
  • GProf2Dot - A Python script to convert the output from many profilers into a dot graph
  • PyShark - Python wrapper for tshark, allowing python packet parsing using wireshark dissectors
  • PyPerformance
  • Pympler - Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application
  • Yappi - A tracing profiler that is multithreading, asyncio and gevent aware
  • PySnooper - Add one decorator line to the function you're interested in. Got a play-by-play log of your function.

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Tools to analysis performance