Metadata-Version: 2.3
Name: abvelocity
Version: 0.1.0
Summary: A Python package for accelerating data-driven experiments and analysis
License: BSD-2-Clause
Keywords: experiments,velocity,data-analysis,visualization,statistics
Author: Reza Hosseini
Author-email: reza1317@gmail.com
Requires-Python: >=3.10,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: Jinja2 (>=3.1.0,<4.0.0)
Requires-Dist: numpy (>=2.0.0,<3.0.0)
Requires-Dist: pandas (>=2.2.0,<3.0.0)
Requires-Dist: plotly (>=5.24.0,<6.0.0)
Requires-Dist: presto-python-client (>=0.8.0,<0.9.0)
Requires-Dist: pyhocon (>=0.3.0,<0.4.0)
Requires-Dist: scipy (>=1.13.0,<2.0.0)
Requires-Dist: statsmodels (>=0.14.0,<0.15.0)
Requires-Dist: tabulate (>=0.9.0,<0.10.0)
Description-Content-Type: text/markdown

# abvelocity

A library to increase experimentation velocity.
The main current supported tooling is called "Multi-Experiment Analysis (MEA)".

MEA allows us to analyze multiple concurrent orthogonal experiments.


See [What is MEA?](./docs/docs/content/2-what-is-mea.md)

See [Run MEA (Generic Version)](./docs/docs/content/4-run-mea-generic.md)

See [MEA Report](./docs/docs/content/5-mea-report.md)


# Important Notice: Early Development Phase

Please be aware that this library is currently in its **initial development and testing phase**. It is **not yet ready for production use** and comes with **absolutely no warranty**. Use at your own discretion.

