Spy on Python down to the Linux kernel level

• austin

  12 1,350 7.5 C

  Python frame stack sampler for CPython

  If you follow the call stack carefully you should be able to get to the point where sklearn calls ddot_kernel_8 (indirectly in this case). Austin(p) reports source files as well, so that shouldn't be a problem (provided all the debug symbols are available). If you're collecting data with austinp, don't forget to resolve symbol names with the resolve.py utility (https://github.com/P403n1x87/austin/blob/devel/utils/resolve..., see the README for more details: https://github.com/P403n1x87/austin/blob/devel/utils/resolve...)

• yappi

  5 1,365 7.3 Python

  Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.

  I've just realised after posting that the AUR package uses the git version, so it's actually normal that we have to use git version for austin-tui too and not the pypi one. Just if someone like me install the pypi version without paying attention, the git one is necessary.

  For async code, the issue with normal profiler is that we end up mostly in the event loop. In Python there is https://github.com/sumerc/yappi which has a notion of coroutine profiling (check the README there), so I'm wondering if this would make sense in the context of Austin.

  Anyway thanks for your work!

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