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A tracing profiler that is multithreading, asyncio and gevent aware.
•Fast: Yappi is fast. It is completely written in C and lots of love and care went into making it fast.
•Unique: Yappi supports multithreaded, asyncio and gevent profiling. Tagging/filtering multiple profiler results has interesting use cases.
•Intuitive: Profiler can be started/stopped and results can be obtained from any time and any thread.
•Standards Compliant: Profiler results can be saved in callgrind or pstat formats.
•Rich in Feature set: Profiler results can show either Wall Time or actual CPU Time and can be aggregated from different sessions. Various flags are defined for filtering and sorting profiler results.
•Robust: Yappi has been around for years.
CPython standard distribution comes with three deterministic profilers. cProfile, Profile and hotshot. cProfile is implemented as a C module based on lsprof, Profile is in pure Python and hotshot can be seen as a small subset of a cProfile. The major issue is that all of these profilers lack support for multi-threaded programs and CPU time.
If you want to profile a multi-threaded application, you must give an entry point to these profilers and then maybe merge the outputs. None of these profilers are designed to work on long-running multi-threaded applications. It is also not possible to profile an application that start/stop/retrieve traces on the fly with these profilers.
A simple example: Profile a multithreaded application:
You can profile a multithreaded application via Yappi and can easily retrieve per-thread profile information by filtering on ctx_id with get_func_stats API.
Different ways to filter/sort stats:
You can use filter_callback on get_func_stats API to filter on functions, modules or whatever available in YFuncStat object.
Profile an asyncio application:
You can see that coroutine wall-time's are correctly profiled.
•Introduction
•Clock Types
•API
•Coroutine Profiling (new in 1.2)
•Greenlet Profiling (new in 1.3)
Note: Yes. I know I should be moving docs to readthedocs.io. Stay tuned!
Special thanks to A.Jesse Jiryu Davis:
•Python Performance Profiling: The Guts And The Glory (PyCon 2015)
Yappi is the default profiler in PyCharm. If you have Yappi installed, PyCharm will use it. See the official documentation for more details.
Yappi is a fast and versatile tracing profiler that supports multithreading, asyncio and gevent. It can show wall time or CPU time, filter and sort results, and save in callgrind or pstat formats.
Jan 6, 2014 · yappi is a fast, multithreading, asyncio and gevent aware profiler for Python. It can show wall time or CPU time, call count, and filter/sort results for functions, modules, threads and coroutines.
Yappi is a lightweight and easy-to-use profiler for Python that supports CPU and wall time profiling, coroutine and greenlet profiling, and multithreading and asyncio awareness. Learn how to use Yappi with a simple example and see the output of profiling stats.
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yappi is a fast and flexible Python profiler that supports profiling of multi-threaded, asyncio, and gevent code. Learn how to use yappi from command line or Python code, and how to format and filter profiling results.
