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PerfTimer is an instrumenting timer which provides an easy way to get insight into call count and average execution time of a function or piece of code during a real session of your program.
Use cases include:
- check the effects of algorithm tweaks, new implementations, etc.
- confirm the performance of a library you are considering under actual use by your app (as opposed to upstream's artificial benchmarks)
- measure CPU overhead of networking or other asynchronous I/O (currently supported: OS threads, Trio async/await)
FAQs
An indispensable performance timer for Python
We found that perf-timer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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