--- title: "autogluon vs pycaret" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/autogluon-autogluon-vs-pycaret-pycaret" tools: ["autogluon-autogluon", "pycaret-pycaret"] --- # autogluon vs pycaret *GraphCanon updated Aug 4, 2026* ## Verdict Pick autogluon if autoGluon: an automated ML library for Python that promises accuracy in model training with minimal effort, supporting tabular data, time-series forecasting, vision tasks, and NLP; pick pycaret if 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. [autogluon](https://auto.gluon.ai/) reports 11k GitHub stars, 1.2k forks, and 388 open issues, last pushed Aug 3, 2026. [pycaret](https://pycaret.org) has 9.8k stars, 1.9k forks, and 32 open issues, last pushed Jul 23, 2026. Figures are from public GitHub metadata via [autogluon's repository](https://github.com/autogluon/autogluon) and [pycaret's repository](https://github.com/pycaret/pycaret). | | [autogluon](/tools/autogluon-autogluon.md) | [pycaret](/tools/pycaret-pycaret.md) | | --- | --- | --- | | Tagline | Fast and Accurate ML in 3 Lines of Code | Open-source low-code AutoML platform for Python | | Stars | 10,576 | 9,831 | | Forks | 1,171 | 1,850 | | Open issues | 388 | 32 | | Language | Python | Python | | Adopt for | AutoGluon: an automated ML library for Python that promises accuracy in model training with minimal effort, supporting tabular data, time-series forecasting, vision tasks, and NLP. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License allows for both commercial and private use with attribution required but no warranty provided by contributors or authors. | Other | | Categories | Developer Tools, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogluon](/tools/autogluon-autogluon.md) | [pycaret](/tools/pycaret-pycaret.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 12d | | Open issues (now) | 388 | 32 | | Full report | [trust report](/tools/autogluon-autogluon/trust.md) | [trust report](/tools/pycaret-pycaret/trust.md) | ## Shared compatibility - **Python**: [autogluon](/tools/autogluon-autogluon.md) - Python runtime; [pycaret](/tools/pycaret-pycaret.md) - Python runtime ## Decision facts: autogluon - **Adopt for:** AutoGluon: an automated ML library for Python that promises accuracy in model training with minimal effort, supporting tabular data, time-series forecasting, vision tasks, and NLP. - **License detail:** Apache-2.0 License allows for both commercial and private use with attribution required but no warranty provided by contributors or authors. ## Decision facts: pycaret - **Adopt for:** 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. ## Choose when ### Choose autogluon if… - License: autogluon is Apache-2.0, pycaret is Other. - Tags unique to autogluon: automated-machine-learning, computer-vision, deep-learning, ensemble-learning. - Also covers Developer Tools. - When you need quick setup of complex ML workflows involving CV, NLP, or structured data analysis. ### Choose pycaret if… - License: pycaret is Other, autogluon is Apache-2.0. - Tags unique to pycaret: anomaly-detection, classification, clustering, fastapi. - You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity ## When NOT to use autogluon - If your environment does not support Python versions 3.10-3.13 as AutoGluon requires these specific versions for operation. - For custom model developments where low-level control over every aspect of the ML process is a priority, given that AutoGluon automates significant parts of this. ## When NOT to use pycaret - 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 ## Common questions ### What is the difference between autogluon and pycaret? autogluon: Fast and Accurate ML in 3 Lines of Code. pycaret: Open-source low-code AutoML platform for Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogluon over pycaret? Choose autogluon over pycaret when License: autogluon is Apache-2.0, pycaret is Other; Tags unique to autogluon: automated-machine-learning, computer-vision, deep-learning, ensemble-learning; Also covers Developer Tools; When you need quick setup of complex ML workflows involving CV, NLP, or structured data analysis. ### When should I choose pycaret over autogluon? Choose pycaret over autogluon when License: pycaret is Other, autogluon is Apache-2.0; Tags unique to pycaret: anomaly-detection, classification, clustering, fastapi; You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity. ### When should I avoid autogluon? If your environment does not support Python versions 3.10-3.13 as AutoGluon requires these specific versions for operation. For custom model developments where low-level control over every aspect of the ML process is a priority, given that AutoGluon automates significant parts of this. ### When should I avoid pycaret? 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 ### Is autogluon or pycaret more popular on GitHub? autogluon has more GitHub stars (10,576 vs 9,831). Stars measure visibility, not whether either tool fits your constraints. ### Are autogluon and pycaret open source? Yes - both are open-source projects on GitHub (autogluon: Apache-2.0, pycaret: Other). ### Where can I find alternatives to autogluon or pycaret? GraphCanon lists graph-backed alternatives at [autogluon alternatives](/tools/autogluon-autogluon/alternatives) and [pycaret alternatives](/tools/pycaret-pycaret/alternatives) ([autogluon markdown twin](/tools/autogluon-autogluon/alternatives.md), [pycaret markdown twin](/tools/pycaret-pycaret/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/autogluon-autogluon-vs-pycaret-pycaret.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogluon or pycaret? autogluon: Very active. pycaret: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for autogluon and pycaret? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogluon trust report](/tools/autogluon-autogluon/trust); [pycaret trust report](/tools/pycaret-pycaret/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=autogluon-autogluon`](/api/graphcanon/graph?tool=autogluon-autogluon) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_