--- title: "auto-sklearn vs serge" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-serge-chat-serge" tools: ["automl-auto-sklearn", "serge-chat-serge"] --- # auto-sklearn vs serge *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-sklearn when auto-sklearn is primarily Python; serge is Svelte; pick serge when serge is primarily Svelte; 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. [serge](https://serge.chat) has 5.7k stars, 391 forks, and 33 open issues, last pushed Nov 21, 2025. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [serge's repository](https://github.com/serge-chat/serge). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [serge](/tools/serge-chat-serge.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API. | | Stars | 8,119 | 5,724 | | Forks | 1,326 | 391 | | Open issues | 210 | 33 | | Language | Python | Svelte | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Apache-2.0 | | 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) | [serge](/tools/serge-chat-serge.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 12d | 232d | | Open issues (now) | 210 | 33 | | Security scan | 22 low (22 low) | No lockfile | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/serge-chat-serge/trust.md) | ## Choose when ### Choose auto-sklearn if… - auto-sklearn is primarily Python; serge is Svelte. - License: auto-sklearn is BSD-3-Clause, serge is Apache-2.0. - Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning. - Also covers Model Training, Developer Tools. ### Choose serge if… - serge is primarily Svelte; auto-sklearn is Python. - License: serge is Apache-2.0, auto-sklearn is BSD-3-Clause. - Tags unique to serge: svelte, llama, alpaca, python. ## 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 serge - Last GitHub push was 233 days ago (slowing maintenance, Nov 21, 2025). Validate activity before betting a new project on serge. ## Common questions ### What is the difference between auto-sklearn and serge? auto-sklearn: Automated Machine Learning with scikit-learn. serge: A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over serge? Choose auto-sklearn over serge when auto-sklearn is primarily Python; serge is Svelte; License: auto-sklearn is BSD-3-Clause, serge is Apache-2.0; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Model Training, Developer Tools. ### When should I choose serge over auto-sklearn? Choose serge over auto-sklearn when serge is primarily Svelte; auto-sklearn is Python; License: serge is Apache-2.0, auto-sklearn is BSD-3-Clause; Tags unique to serge: svelte, llama, alpaca, python. ### 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 serge? Last GitHub push was 233 days ago (slowing maintenance, Nov 21, 2025). Validate activity before betting a new project on serge. ### Is auto-sklearn or serge more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 5,724). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and serge open source? Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, serge: Apache-2.0). ### Where can I find alternatives to auto-sklearn or serge? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [serge alternatives](/tools/serge-chat-serge/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [serge markdown twin](/tools/serge-chat-serge/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-serge-chat-serge.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or serge? auto-sklearn: Active. serge: Slowing. 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 serge? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [serge trust report](/tools/serge-chat-serge/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/_