sumerc/yappi

Health v2 · maintenance only

Adoption not part of the score

1725 stars · 81 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Yappi is a fast tracing profiler for Python written in C that is aware of multithreading, asyncio, and gevent/greenlet concurrency. It supports wall and CPU time measurement, per-thread/coroutine tagging and filtering, and exports results in callgrind and pstat formats.

Use cases

• profile a multithreaded python application
• profile asyncio coroutines
• profile gevent greenlets
• measure cpu time vs wall time of python functions
• profile a long-running server process
• export profiler results to callgrind for kcachegrind
• find slow functions in an asgi web app

When to choose

• your python code uses threads, asyncio, or gevent and cProfile gives misleading results
• you need to profile long-running multi-threaded processes
• you need CPU time rather than wall clock
• you want callgrind/pstats compatible output

When to avoid

• you only need simple single-threaded function profiling (cProfile may suffice)
• you need sampling/probabilistic profiling with very low overhead
• you need line-level or memory profiling

Facets

library · maturity stable

benchmarking developer-tools developer-tools performance python cross-platform profiler asyncio multithreading gevent cpu-time wall-time callgrind pstats command-line

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