pycaret/pycaret
An open-source, low-code machine learning library in Python
This tool helps you quickly build and manage machine learning models for tasks like predicting outcomes, grouping data, or finding unusual patterns. You input your raw data, and it automates the process of training and comparing different models, giving you a trained model ready for predictions. It's designed for data professionals and analysts who want to accelerate their machine learning experiments.
9,708 stars and 463,888 monthly downloads. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly prototype, compare, and deploy machine learning models without writing extensive code, and you work with structured datasets for classification, regression, clustering, time series, or anomaly detection.
Not ideal if you require deep, manual control over every algorithm parameter or are developing highly specialized, custom machine learning architectures from scratch.
Stars
9,708
Forks
1,854
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 21, 2025
Monthly downloads
463,888
Commits (30d)
0
Dependencies
34
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pycaret/pycaret"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
jrieke/streamlit-analytics
👀 Track & visualize user interactions with your streamlit app
rio-labs/rio
WebApps in pure Python. No JavaScript, HTML and CSS needed
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
fcakyon/streamlit-image-comparison
Image comparison slider component for Streamlit