--- title: "automl-gs vs pycaret" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/minimaxir-automl-gs-vs-pycaret-pycaret" tools: ["minimaxir-automl-gs", "pycaret-pycaret"] --- # automl-gs vs pycaret *GraphCanon updated Aug 4, 2026* ## Verdict Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; 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. [automl-gs](https://github.com/minimaxir/automl-gs) reports 1.9k GitHub stars, 181 forks, and 28 open issues, last pushed Oct 22, 2019. [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 [automl-gs's repository](https://github.com/minimaxir/automl-gs) and [pycaret's repository](https://github.com/pycaret/pycaret). | | [automl-gs](/tools/minimaxir-automl-gs.md) | [pycaret](/tools/pycaret-pycaret.md) | | --- | --- | --- | | Tagline | Automatically generate machine-learning models and code with input CSV and target field | Open-source low-code AutoML platform for Python | | Stars | 1,869 | 9,831 | | Forks | 181 | 1,850 | | Open issues | 28 | 32 | | Language | Python | Python | | Adopt for | automl-gs: Python tool for automated machine-learning model creation from CSV data | 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 | MIT | Other | | Categories | Data & Retrieval, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [automl-gs](/tools/minimaxir-automl-gs.md) | [pycaret](/tools/pycaret-pycaret.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 2477d | 12d | | Open issues (now) | 28 | 32 | | Owner type | User | Organization | | Full report | [trust report](/tools/minimaxir-automl-gs/trust.md) | [trust report](/tools/pycaret-pycaret/trust.md) | ## Decision facts: automl-gs - **Adopt for:** automl-gs: Python tool for automated machine-learning model creation from CSV data ## 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 automl-gs if… - License: automl-gs is MIT, pycaret is Other. - Tags unique to automl-gs: keras, python, tensorflow, xgboost. - Also covers Data & Retrieval. - Need to rapidly prototype models with limited ML expertise ### Choose pycaret if… - License: pycaret is Other, automl-gs is MIT. - Tags unique to pycaret: anomaly-detection, classification, clustering, data-science. - You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity ## When NOT to use automl-gs - Complex feature engineering or non-standard data inputs required - Sensitive about licensing of the generated code ## 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 automl-gs and pycaret? automl-gs: Automatically generate machine-learning models and code with input CSV and target field. pycaret: Open-source low-code AutoML platform for Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose automl-gs over pycaret? Choose automl-gs over pycaret when License: automl-gs is MIT, pycaret is Other; Tags unique to automl-gs: keras, python, tensorflow, xgboost; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise. ### When should I choose pycaret over automl-gs? Choose pycaret over automl-gs when License: pycaret is Other, automl-gs is MIT; Tags unique to pycaret: anomaly-detection, classification, clustering, data-science; You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity. ### When should I avoid automl-gs? Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code ### 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 automl-gs or pycaret more popular on GitHub? pycaret has more GitHub stars (9,831 vs 1,869). Stars measure visibility, not whether either tool fits your constraints. ### Are automl-gs and pycaret open source? Yes - both are open-source projects on GitHub (automl-gs: MIT, pycaret: Other). ### Where can I find alternatives to automl-gs or pycaret? GraphCanon lists graph-backed alternatives at [automl-gs alternatives](/tools/minimaxir-automl-gs/alternatives) and [pycaret alternatives](/tools/pycaret-pycaret/alternatives) ([automl-gs markdown twin](/tools/minimaxir-automl-gs/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/minimaxir-automl-gs-vs-pycaret-pycaret.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, automl-gs or pycaret? automl-gs: Dormant. 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 automl-gs and pycaret? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [automl-gs trust report](/tools/minimaxir-automl-gs/trust); [pycaret trust report](/tools/pycaret-pycaret/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=minimaxir-automl-gs`](/api/graphcanon/graph?tool=minimaxir-automl-gs) - 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/_