pyperformance
pyperf
| pyperformance | pyperf | |
|---|---|---|
| 6 | 1 | |
| 817 | 729 | |
| 0.9% | 1.4% | |
| 6.6 | 6.2 | |
| 20 days ago | 5 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
pyperformance
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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.
pyperf
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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.
What are some alternatives?
pybench - Python benchmark tool inspired by Geekbench.
pytest-codspeed - Pytest plugin to create CodSpeed benchmarks
asv - Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
pytest-benchmark - py.test fixture for benchmarking code
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
pyeventbus - Python Eventbus
locust - Write scalable load tests in plain Python 🚗💨
Cython - The most widely used Python to C compiler
python-benchmark-harness - A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.