Tests the performance of Python data libraries.
Ideal Prediction is a company focused on data science, mainly in the financial industry. This repository contains code we used to test the performance of libraries that are core to our software.
Python requirements
pip install -r requirements.txt
These steps run the performance tests and summarize the results
py.test
py.test -s # disables stdout capture so print results can be displayed
py.test --benchmark-save=test # first run the tests and save benchmarks
python results_summary.py .benchmarks/Darwin-CPython-2.7-64bit/0001_test.json # summarize results
This code is made publically available under an MIT license to help the general data science community.