Pyquickbench is an open source, easy to use benchmarking tool written in pure Python. Checkout the example gallery to get an idea of what pyquickbench is capable.

• Tutorial: https://gabrielfougeron.github.io/pyquickbench/tutorial.html
• Documentation: https://gabrielfougeron.github.io/pyquickbench/
• Source code: https://github.com/gabrielfougeron/pyquickbench
• Bug reports: https://github.com/gabrielfougeron/pyquickbench/issues
• Changelog: https://github.com/gabrielfougeron/pyquickbench/releases/

• Timings / repeatability / output benchmarks
• Error handling
• Benchmark results caching
• Multithreaded / multiprocessed benchmarks
• Benchmark timeout
• Multidimensional benchmarks
• Transformed data plotting (relative values, convergence order, ...)
• Intelligent plots
• Sensible defaults

Pyquickbench is available on the Python Package Index. To install using pip, simply type:

pip install pyquickbench

Pyquickbench is available on conda-forge. To install using conda, simply type:

conda install pyquickbench -c conda-forge

To install the current development version of pyquickbench from the github repository, you can type:

pip install git+ssh://git@github.com/gabrielfougeron/pyquickbench.git 

To run tests locally on your machine, first checkout this reposity and install dependencies using pip:

git clone git@github.com:gabrielfougeron/pyquickbench.git
cd pyquickbench
pip install .[tests]

Then, run tests using pytest:

pytest

This software is published under the BSD 2-Clause License.

You might like perfplot, one of the inspirations for this work.