GraphCanon updated 3w · GitHub synced 3w
Decision brief
PyCaret is an open-source low-code AutoML platform with a dual license structure and support for various ML tasks like classification, clustering, and anomaly detection.
Good fit when
- You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity
- Your project requires rapid deployment of models with minimal setup, leveraging Docker for an integrated environment
Avoid when
- Looking for pure open-source contributions as the control plane is BUSL-1.1 licensed until 2027
- You prioritize a fully code-driven custom ML pipeline over a low-code and automated approach
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (12d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pycaretHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PyCaret is an open-source automated machine learning library that enables users to implement end-to-end machine learning pipelines with ease.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 4, 2026)
First build takes ~5 min (Python deps + npm install + Vite build). Subsequent starts are < 30 sec.Source link
Source: README excerpt (regex_v1, Aug 4, 2026)
First build takes ~5 min (Python deps + npm install + Vite build). Subsequent starts are < 30 sec.Source link
Tags
README
Quickstart — local install in 5 minutes
Prerequisites: Docker Desktop 4.27+ (or Docker Engine 25.0+ with Compose v2.24+). That's it.
git clone https://github.com/pycaret/pycaret.git
cd pycaret
docker compose up --build
First build takes ~5 min (Python deps + npm install + Vite build). Subsequent starts are < 30 sec.
Once you see pycaret-api | INFO: Application startup complete. and pycaret-web | … starting nginx, open:
The setup screen will prompt you to create your first admin account + workspace. You're in.
Local development (without docker compose)
If you want to hack on the code with hot-reload, the docker compose setup is overkill — run the services directly:
---
# Install everything (engine + control plane + UI deps)
uv sync --all-packages --all-extras
cd apps/web && npm install && cd ..
---
## License
PyCaret 4.0 is dual-licensed:
- The **engine** (`packages/engine/`) — **MIT** (free for any use, including commercial).
- The **control plane** (`services/api/`, `apps/web/`, `infra/`) — **BUSL-1.1** with a 4-year change date to Apache-2.0. Production-self-host is fine for any organisation under the [Additional Use Grant](LICENSE); managed-SaaS-of-PyCaret-itself is the restricted case.
See [LICENSE](LICENSE) for the legal text, [LICENSE.engine.txt](LICENSE.engine.txt) for the engine MIT terms.
For agents
This page has a .md twin and JSON over the API.