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pycaret/pycaret

An open-source, low-code AutoML platform for Python, offering a sklearn-native engine and a React-based control plane for end-to-end machine learning workflows.

Core Features

Low-code Python API for ML experiments (engine).

Self-hosted web platform (Control Plane) for managing ML workflows (workspaces, datasets, experiments, deployments, monitoring).

Support for various ML tasks: Classification, Regression, Clustering, Anomaly Detection, Time Series.

Multiple deployment modes: Notebook, Docker, Kubernetes (roadmapped).

LLM-assisted experiment design (Control Plane feature).

Quick Start

pip install pycaret

Detailed Introduction

PyCaret is a comprehensive open-source machine learning platform designed to simplify end-to-end ML workflows. It comprises a powerful, sklearn-native Python engine for low-code experimentation and a full-stack, self-hosted web control plane. This platform enables data scientists and teams to manage datasets, run experiments, compare models, tune hyperparameters, deploy artifacts, and monitor performance, all within a unified environment. PyCaret 4.0 represents a significant architectural revamp, aiming to provide a robust, scalable, and user-friendly solution for automated machine learning, from local notebooks to enterprise cloud deployments.