pyperf
Toolkit to run Python benchmarks (by psf)
pyperformance
Python Performance Benchmark Suite (by python)
pyperf | pyperformance | |
---|---|---|
1 | 6 | |
735 | 818 | |
2.2% | 1.0% | |
6.2 | 6.6 | |
5 days ago | 26 days ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyperf
Posts with mentions or reviews of pyperf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-05.
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The Performance Benchmarks Comparing various combinations of GCC and Python
Finally, we use pyperf to compare the performance and generate Markdown tables.
pyperformance
Posts with mentions or reviews of pyperformance.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-19.
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Phoronix: PyPerformance benchmark is on average 32% faster on Python 3.11 compared to 3.10 (on a Ryzen 9 5950X)
PyPerformance benchmark: https://github.com/python/pyperformance
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Faster CPython 3.12 Plan
25% number is from pyperformance benchmark suite, which you can replicate. Whether pyperformance is representative benchmark suite is another question.
https://github.com/python/pyperformance
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The Performance Benchmarks Comparing various combinations of GCC and Python
For each combination, We launch a GCC container and build Python with the GCC. Then run benchmarks using pyperformance and export to a JSON file.
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This Week In Python
pyperformance – Python Performance Benchmark Suite
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Hello, I created a interpreted dynamic programming language in C#. I use a bytecode compiler and a vm for interpretation. Right now I'm trying to optimise it. Any help would be great!
There are some standard benchmarks like fannkuch, deltablue, and so on (see a bunch for Python here) that you can port to your VM. They have adjustable values that you can raise or lower to increase or decrease the amount of time you take.
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Why is python so much slower on MacOS?
So I decided to run some actual benchmark suite. I found pyperformance which would seem to do the trick.
What are some alternatives?
When comparing pyperf and pyperformance you can also consider the following projects:
pytest-codspeed - Pytest plugin to create CodSpeed benchmarks
pybench - Python benchmark tool inspired by Geekbench.
pytest-benchmark - py.test fixture for benchmarking code
asv - Airspeed Velocity: A simple Python benchmarking tool with web-based reporting