profile, cProfile, and pstats – Performance analysis of Python programs. - Python Module of the Week
If you find this information useful, consider picking up a copy of my book, The Python Standard Library By Example. Page Contents profile, cProfile, and pstats – Performance analysis of Python programs. run() runctx() pstats: Saving and Working With Statistics Limiting Report Contents Caller / Callee Graphs Navigation Table of Contents Previous: Debugging and Profiling Next: timeit – Time the exec
Linux Profiling tools and techniques
Profiling is an alternative to benchmarking that is often more effective, as it gives you more fine grained measurements for the components of the system you're measuring, thus minimising external influences from consideration. It also gives the relative cost of various components, further discounting external influence. As a consequence of giving more fine grained information for a component, pro
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Introduction — Pympler 0.5 documentation
GitHub - nvdv/vprof: Visual profiler for Python
GitHub - what-studio/profiling: Was an interactive continuous Python profiler.
bdarnell/plop: Python Low-Overhead Profiler
Beyond web developer tools: strace
