--- title: "auto-sklearn vs mukh" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-ishandutta0098-mukh" tools: ["automl-auto-sklearn", "ishandutta0098-mukh"] --- # auto-sklearn vs mukh *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, mukh is Apache-2.0; pick mukh when license: mukh is Apache-2.0, 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. [mukh](https://ishandutta0098.github.io/mukh/) has 374 stars, 95 forks, and 6 open issues, last pushed Jun 29, 2025. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [mukh's repository](https://github.com/ishandutta0098/mukh). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [mukh](/tools/ishandutta0098-mukh.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | A comprehensive face analysis library that provides unified APIs for various face-related tasks | | Stars | 8,119 | 374 | | Forks | 1,326 | 95 | | Open issues | 210 | 6 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Apache-2.0 | | 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) | [mukh](/tools/ishandutta0098-mukh.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 376d | | Open issues (now) | 210 | 6 | | Owner type | Organization | User | | Security scan | 22 low (22 low) | 29 low (29 low) | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/ishandutta0098-mukh/trust.md) | ## Shared compatibility - **Python**: [auto-sklearn](/tools/automl-auto-sklearn.md) - Python runtime; [mukh](/tools/ishandutta0098-mukh.md) - Python runtime ## Choose when ### Choose auto-sklearn if… - License: auto-sklearn is BSD-3-Clause, mukh is Apache-2.0. - Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization. - Also covers Developer Tools, Model Training. - auto-sklearn ships Docker support for self-hosted deployment. ### Choose mukh if… - License: mukh is Apache-2.0, auto-sklearn is BSD-3-Clause. - Tags unique to mukh: ai, computer-vision, deepfake-detection, face-analysis. - Leaner open-issue backlog (6). ## 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 mukh - Last GitHub push was 377 days ago (dormant maintenance, Jun 29, 2025). Validate activity before betting a new project on mukh. ## Common questions ### What is the difference between auto-sklearn and mukh? auto-sklearn: Automated Machine Learning with scikit-learn. mukh: A comprehensive face analysis library that provides unified APIs for various face-related tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over mukh? Choose auto-sklearn over mukh when License: auto-sklearn is BSD-3-Clause, mukh is Apache-2.0; Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; Also covers Developer Tools, Model Training; auto-sklearn ships Docker support for self-hosted deployment. ### When should I choose mukh over auto-sklearn? Choose mukh over auto-sklearn when License: mukh is Apache-2.0, auto-sklearn is BSD-3-Clause; Tags unique to mukh: ai, computer-vision, deepfake-detection, face-analysis; Leaner open-issue backlog (6). ### 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 mukh? Last GitHub push was 377 days ago (dormant maintenance, Jun 29, 2025). Validate activity before betting a new project on mukh. ### Is auto-sklearn or mukh more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 374). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and mukh open source? Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, mukh: Apache-2.0). ### Where can I find alternatives to auto-sklearn or mukh? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [mukh alternatives](/tools/ishandutta0098-mukh/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [mukh markdown twin](/tools/ishandutta0098-mukh/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-ishandutta0098-mukh.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or mukh? auto-sklearn: Active. mukh: 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 mukh? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [mukh trust report](/tools/ishandutta0098-mukh/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/_