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Pycaret

github.com/pycaret/pycaret AI Data & Analytics Open-source project

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

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github.com/pycaret/pycaret
Pycaret homepage screenshot

About Pycaret

PyCaret is an open-source, self-hosted low-code AutoML platform built for Python. The current 4.0 release features a scikit-learn 1.7-based native engine paired with a React-based web control plane and user interface, all packaged to simplify machine learning workflow management without manual YAML configuration. It is designed for users who want to build, deploy, and monitor ML models with minimal coding.

The platform can be deployed locally in approximately 5 minutes using Docker Compose, with no dependencies beyond Docker Desktop or Docker Engine. It includes core ML lifecycle tools such as experiment tracking, model registry, deployment management, drift monitoring, and LLM-powered advisory copilots. Its default compact two-container architecture works for personal laptop use or small-team production deployments, and is built to scale to separate containers and external services as requirements grow.

Key features

  • Low-code AutoML platform for Python with scikit-learn native engine
  • React-based web UI with dark mode, no YAML editing required
  • One-command local deployment via Docker Compose
  • Includes experiment tracking, model registry, and drift monitoring
  • Compact two-container default architecture for laptops and small teams
  • Designed to scale to separate containers and external cloud services
Best for: Small teams, data scientists, and ML engineers seeking a self-hosted, low-code AutoML platform for Python with straightforward local deployment.
Good for
  • Open-source and self-hosted for full infrastructure control
  • Fast local setup with Docker Compose, no complex configuration
  • Combines AutoML engine, control plane, and UI in one package
  • Built to scale from personal use to small production deployments
Watch out for
  • 4.0 release is still a work in progress with unimplemented planned features
  • Scaling to separate containers and external services requires future updates
  • Initial local build takes approximately 5 minutes for dependency installation

Pycaret at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026
pythonmachine learningdata sciencemlops

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Pycaret FAQ

What is PyCaret?
PyCaret is an open-source, low-code AutoML platform for Python with a scikit-learn native engine, FastAPI control plane, and React-based web UI for managing end-to-end machine learning workflows.
How do I install PyCaret locally?
You can deploy PyCaret locally in roughly 5 minutes using Docker Compose, with only Docker Desktop 4.27+ or Docker Engine 25.0+ with Compose v2.24+ as a prerequisite.
What ML lifecycle features does PyCaret include?
PyCaret offers experiment tracking, model registry, deployment management, drift monitoring, and LLM-powered advisory copilots as part of its built-in control plane.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 7, 2026 · How we rank