Profiling Python Code for Performance

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • profiling-code

    Collection of examples and links that uses different profiling tools to show memory usage and timings.

  • Here are a few tools that are actively maintained that can help you understand and profile the performance of your Python code, from Django apps to Celery workers to desktop GUI apps:

  • yappi

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

  • yappi

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • guppy3

    guppy / heapy ported to Python3. It works for real!

  • Guppy3 is a neat tool for diagnosing memory leak issues.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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