--- title: "auto-sklearn vs quals-2023" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-nautilus-institute-quals-2023" tools: ["automl-auto-sklearn", "nautilus-institute-quals-2023"] --- # auto-sklearn vs quals-2023 *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-sklearn when auto-sklearn is primarily Python; quals-2023 is C; pick quals-2023 when quals-2023 is primarily C; auto-sklearn is Python. [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. [quals-2023](https://github.com/Nautilus-Institute/quals-2023) has 127 stars, 11 forks, and 0 open issues, last pushed Jun 9, 2023. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [quals-2023's repository](https://github.com/Nautilus-Institute/quals-2023). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [quals-2023](/tools/nautilus-institute-quals-2023.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | Source code for the DEF CON 31 CTF Qualifiers. | | Stars | 8,119 | 127 | | Forks | 1,326 | 11 | | Open issues | 210 | 0 | | Language | Python | C | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | - | | Categories | Model Training, Computer Vision, Developer Tools | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [quals-2023](/tools/nautilus-institute-quals-2023.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 1128d | | Open issues (now) | 210 | 0 | | Security scan | 22 low (22 low) | No lockfile | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/nautilus-institute-quals-2023/trust.md) | ## Choose when ### Choose auto-sklearn if… - auto-sklearn is primarily Python; quals-2023 is C. - Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning. - Also covers Model Training, Developer Tools. - auto-sklearn ships Docker support for self-hosted deployment. ### Choose quals-2023 if… - quals-2023 is primarily C; auto-sklearn is Python. - Tags unique to quals-2023: c++. - Leaner open-issue backlog (0). ## When NOT to use auto-sklearn - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use quals-2023 - Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023. ## Common questions ### What is the difference between auto-sklearn and quals-2023? auto-sklearn: Automated Machine Learning with scikit-learn. quals-2023: Source code for the DEF CON 31 CTF Qualifiers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over quals-2023? Choose auto-sklearn over quals-2023 when auto-sklearn is primarily Python; quals-2023 is C; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Model Training, Developer Tools; auto-sklearn ships Docker support for self-hosted deployment. ### When should I choose quals-2023 over auto-sklearn? Choose quals-2023 over auto-sklearn when quals-2023 is primarily C; auto-sklearn is Python; Tags unique to quals-2023: c++; Leaner open-issue backlog (0). ### When should I avoid auto-sklearn? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid quals-2023? Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023. ### Is auto-sklearn or quals-2023 more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 127). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and quals-2023 open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to auto-sklearn or quals-2023? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [quals-2023 alternatives](/tools/nautilus-institute-quals-2023/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [quals-2023 markdown twin](/tools/nautilus-institute-quals-2023/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-nautilus-institute-quals-2023.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or quals-2023? auto-sklearn: Active. quals-2023: Dormant. 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 quals-2023? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [quals-2023 trust report](/tools/nautilus-institute-quals-2023/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/_