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PyCaret

PyCaret is a “low code” library for machine learning, including AutoML and experiment tracking functionality. It covers a very wide range of ML-related talks and has modules for clustering, regression, classification, anomaly detection, NLP, association rule mining, and time series analysis.

Logo
Website	https://pycaret.org
Repository	https://github.com/pycaret/pycaret
Byline	An open-source, low-code machine learning library in Python.
License	MIT
Project age	3 years
Backers	Personal Project (Creator and maintainer)
Lastest News (2021-04-28)	Release 2.3.1 2.3.1 is a minor release including fixes for CuML wrapper pickleable and exceptions when using Ridge and RF estimator. … more
Size score (1 to 10, higher is better)	8.5
Trend score (1 to 10, higher is better)	8.0

Education Resources

URL	Resource Type	Description
https://pycaret.readthedocs.io/en/latest/	Documentation	Official project documentation.
https://towardsdatascience.com/predict-lead-score-the-right-way-using-pycaret-332faa780cfc	Blog	The blog is written by the creator of the PyCaret project, Moez Ali. This blog is using a lead generation example to walk you through how to use PyCaret.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	60,475	10,079
Lines committed	102,140,754	31,607,018
Unique committers	110	52
Core committers	12	13

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