--- title: "devol vs scikit-learn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/joeddav-devol-vs-scikit-learn-scikit-learn" tools: ["joeddav-devol", "scikit-learn-scikit-learn"] --- # devol vs scikit-learn *GraphCanon updated Jul 11, 2026* ## Verdict Pick devol when license: devol is MIT, scikit-learn is BSD-3-Clause; pick scikit-learn when license: scikit-learn is BSD-3-Clause, devol is MIT. [devol](https://github.com/joeddav/devol) reports 950 GitHub stars, 114 forks, and 7 open issues, last pushed May 25, 2023. [scikit-learn](https://scikit-learn.org) has 67k stars, 27k forks, and 2.1k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [devol's repository](https://github.com/joeddav/devol) and [scikit-learn's repository](https://github.com/scikit-learn/scikit-learn). | | [devol](/tools/joeddav-devol.md) | [scikit-learn](/tools/scikit-learn-scikit-learn.md) | | --- | --- | --- | | Tagline | Early POC of genetic neural architecture search | scikit-learn: machine learning in Python | | Stars | 950 | 66,693 | | Forks | 114 | 27,170 | | Open issues | 7 | 2,102 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | BSD-3-Clause | | Categories | Computer Vision, Evaluation & Observability, Model Training | Computer Vision, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [devol](/tools/joeddav-devol.md) | [scikit-learn](/tools/scikit-learn-scikit-learn.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1143d | 0d | | Open issues (now) | 7 | 2.1k | | Owner type | User | Organization | | Full report | [trust report](/tools/joeddav-devol/trust.md) | [trust report](/tools/scikit-learn-scikit-learn/trust.md) | ## Choose when ### Choose devol if… - License: devol is MIT, scikit-learn is BSD-3-Clause. - Tags unique to devol: automl, computer-vision, deep-learning, genetic-algorithm. - Also covers Model Training. ### Choose scikit-learn if… - License: scikit-learn is BSD-3-Clause, devol is MIT. - Tags unique to scikit-learn: data-analysis, data-science, statistics. - More GitHub stars (67k vs 950) - visibility, not fit. ## When NOT to use devol - Last GitHub push was 1143 days ago (dormant maintenance, May 25, 2023). Validate activity before betting a new project on devol. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use scikit-learn - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between devol and scikit-learn? devol: Early POC of genetic neural architecture search. scikit-learn: scikit-learn: machine learning in Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose devol over scikit-learn? Choose devol over scikit-learn when License: devol is MIT, scikit-learn is BSD-3-Clause; Tags unique to devol: automl, computer-vision, deep-learning, genetic-algorithm; Also covers Model Training. ### When should I choose scikit-learn over devol? Choose scikit-learn over devol when License: scikit-learn is BSD-3-Clause, devol is MIT; Tags unique to scikit-learn: data-analysis, data-science, statistics; More GitHub stars (67k vs 950) - visibility, not fit. ### When should I avoid devol? Last GitHub push was 1143 days ago (dormant maintenance, May 25, 2023). Validate activity before betting a new project on devol. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid scikit-learn? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is devol or scikit-learn more popular on GitHub? scikit-learn has more GitHub stars (66,693 vs 950). Stars measure visibility, not whether either tool fits your constraints. ### Are devol and scikit-learn open source? Yes - both are open-source projects on GitHub (devol: MIT, scikit-learn: BSD-3-Clause). ### Where can I find alternatives to devol or scikit-learn? GraphCanon lists graph-backed alternatives at [devol alternatives](/tools/joeddav-devol/alternatives) and [scikit-learn alternatives](/tools/scikit-learn-scikit-learn/alternatives) ([devol markdown twin](/tools/joeddav-devol/alternatives.md), [scikit-learn markdown twin](/tools/scikit-learn-scikit-learn/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/joeddav-devol-vs-scikit-learn-scikit-learn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, devol or scikit-learn? devol: Dormant. scikit-learn: Very active. 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 devol and scikit-learn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [devol trust report](/tools/joeddav-devol/trust); [scikit-learn trust report](/tools/scikit-learn-scikit-learn/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=joeddav-devol`](/api/graphcanon/graph?tool=joeddav-devol) - 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/_