--- title: "auto-sklearn vs stable-diffusion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-compvis-stable-diffusion" tools: ["automl-auto-sklearn", "compvis-stable-diffusion"] --- # auto-sklearn vs stable-diffusion *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-sklearn when auto-sklearn is primarily Python; stable-diffusion is Jupyter Notebook; pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; 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. [stable-diffusion](https://ommer-lab.com/research/latent-diffusion-models/) has 73k stars, 11k forks, and 617 open issues, last pushed Jun 18, 2024. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [stable-diffusion](/tools/compvis-stable-diffusion.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | A latent text-to-image diffusion model | | Stars | 8,119 | 73,179 | | Forks | 1,326 | 10,584 | | Open issues | 210 | 617 | | Language | Python | Jupyter Notebook | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Other | | Categories | Model Training, 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) | [stable-diffusion](/tools/compvis-stable-diffusion.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 753d | | Open issues (now) | 210 | 617 | | Security scan | 22 low (22 low) | No lockfile | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/compvis-stable-diffusion/trust.md) | ## Shared compatibility - **Python**: [auto-sklearn](/tools/automl-auto-sklearn.md) - Python runtime; [stable-diffusion](/tools/compvis-stable-diffusion.md) - Python runtime ## Choose when ### Choose auto-sklearn if… - auto-sklearn is primarily Python; stable-diffusion is Jupyter Notebook. - License: auto-sklearn is BSD-3-Clause, stable-diffusion is Other. - Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning. - Also covers Developer Tools. - auto-sklearn ships Docker support for self-hosted deployment. ### Choose stable-diffusion if… - stable-diffusion is primarily Jupyter Notebook; auto-sklearn is Python. - License: stable-diffusion is Other, auto-sklearn is BSD-3-Clause. - Tags unique to stable-diffusion: jupyter notebook. ## 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 stable-diffusion - Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between auto-sklearn and stable-diffusion? auto-sklearn: Automated Machine Learning with scikit-learn. stable-diffusion: A latent text-to-image diffusion model. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over stable-diffusion? Choose auto-sklearn over stable-diffusion when auto-sklearn is primarily Python; stable-diffusion is Jupyter Notebook; License: auto-sklearn is BSD-3-Clause, stable-diffusion is Other; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Developer Tools; auto-sklearn ships Docker support for self-hosted deployment. ### When should I choose stable-diffusion over auto-sklearn? Choose stable-diffusion over auto-sklearn when stable-diffusion is primarily Jupyter Notebook; auto-sklearn is Python; License: stable-diffusion is Other, auto-sklearn is BSD-3-Clause; Tags unique to stable-diffusion: jupyter notebook. ### 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 stable-diffusion? Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is auto-sklearn or stable-diffusion more popular on GitHub? stable-diffusion has more GitHub stars (73,179 vs 8,119). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and stable-diffusion open source? Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, stable-diffusion: Other). ### Where can I find alternatives to auto-sklearn or stable-diffusion? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [stable-diffusion markdown twin](/tools/compvis-stable-diffusion/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-compvis-stable-diffusion.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or stable-diffusion? auto-sklearn: Active. stable-diffusion: 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 stable-diffusion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [stable-diffusion trust report](/tools/compvis-stable-diffusion/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/_