--- title: "auto-sklearn vs knowledge_gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-mmz-001-knowledge-gpt" tools: ["automl-auto-sklearn", "mmz-001-knowledge-gpt"] --- # auto-sklearn vs knowledge_gpt *GraphCanon updated Jul 12, 2026* ## Verdict Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT; pick knowledge_gpt when license: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause. [auto-sklearn](https://automl.github.io/auto-sklearn) reports 8.1k GitHub stars, 1.3k forks, and 210 open issues, last pushed Jun 29, 2026. [knowledge_gpt](https://knowledgegpt.streamlit.app/) has 1.6k stars, 787 forks, and 16 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [knowledge_gpt's repository](https://github.com/mmz-001/knowledge_gpt). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | Accurate answers and instant citations for your documents. | | Stars | 8,119 | 1,637 | | Forks | 1,326 | 787 | | Open issues | 210 | 16 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Computer Vision, Developer Tools, Model Training | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Archived (8%) | | Days since push | 12d | 772d | | Archived on GitHub | No | Yes | | Open issues (now) | 210 | 16 | | Owner type | Organization | User | | Security scan | 22 low (22 low) | 243 low (243 low) | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/mmz-001-knowledge-gpt/trust.md) | ## Choose when ### Choose auto-sklearn if… - License: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT. - Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization. - Also covers Developer Tools, Model Training. ### Choose knowledge_gpt if… - License: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause. - Tags unique to knowledge_gpt: python. - Leaner open-issue backlog (16). ## When NOT to use auto-sklearn - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use knowledge_gpt - knowledge_gpt is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. ## Common questions ### What is the difference between auto-sklearn and knowledge_gpt? auto-sklearn: Automated Machine Learning with scikit-learn. knowledge_gpt: Accurate answers and instant citations for your documents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over knowledge_gpt? Choose auto-sklearn over knowledge_gpt when License: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT; Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; Also covers Developer Tools, Model Training. ### When should I choose knowledge_gpt over auto-sklearn? Choose knowledge_gpt over auto-sklearn when License: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause; Tags unique to knowledge_gpt: python; Leaner open-issue backlog (16). ### When should I avoid auto-sklearn? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid knowledge_gpt? knowledge_gpt is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. ### Is auto-sklearn or knowledge_gpt more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 1,637). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and knowledge_gpt open source? Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, knowledge_gpt: MIT). ### Where can I find alternatives to auto-sklearn or knowledge_gpt? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [knowledge_gpt alternatives](/tools/mmz-001-knowledge-gpt/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [knowledge_gpt markdown twin](/tools/mmz-001-knowledge-gpt/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/automl-auto-sklearn-vs-mmz-001-knowledge-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or knowledge_gpt? auto-sklearn: Active. knowledge_gpt: Archived. 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 auto-sklearn and knowledge_gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [knowledge_gpt trust report](/tools/mmz-001-knowledge-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=automl-auto-sklearn`](/api/graphcanon/graph?tool=automl-auto-sklearn) - 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/_