GraphCanon updated Oct 2, 2026 · GitHub synced Oct 2, 2026
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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
- Steady (71d since push)
- As of Oct 2, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 2, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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 · Oct 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 2, 2026)
First build takes ~5 min (Python deps + npm install + Vite build). Subsequent starts are < 30 sec.Source link
Source: README excerpt (regex_v1, Oct 2, 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. First build takes 5 min (Python deps + npm install + Vite build). Subsequent starts are < 30 sec. Once you see and , open: http://localhost:3020 Th...
For agents
This page has a .md twin and JSON over the API.