1. Home
2. Data Science
3. General Machine Learning
4. PyCaret

1. Home
2. Data Science
3. Natural Language Processing
4. PyCaret

1. Home
2. Data Science
3. Time Series Analysis
4. PyCaret

1. Home
2. Data Science
3. Anomaly Detection
4. PyCaret

1. Home
2. Data Science
3. Experiment Tracking and Data Lineage
4. PyCaret

1. Home
2. Data Science
3. Auto ML
4. PyCaret

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	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

Similar Projects

Project	Size Score	Trend Score	Byline
Hugging Face Transformers	8.25	6.5	State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0.
NLTK	7.5	5.25	A suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing
Scikit-learn	8.5	5.75	A Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
Smile	6.75	5.5	Statistical Machine Intelligence & Learning Engine
h2o-3	7.0	6.0	Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.