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

../_images/pycaret_pycaret-small.png

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

2 years 4 months

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)

7.25

Trend score (1 to 10, higher is better)

6.0

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 March 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

52,306

8,726

Lines committed

77,344,979

7,627,749

Unique committers

84

45

Core committers

6

14

../_images/pycaret_pycaret-monthly-commits.png

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