--- title: "AILearners vs auto-sklearn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aimi-cn-ailearners-vs-automl-auto-sklearn" tools: ["aimi-cn-ailearners", "automl-auto-sklearn"] --- # AILearners vs auto-sklearn *GraphCanon updated Jul 11, 2026* ## Verdict Pick AILearners when license: AILearners is Apache-2.0, auto-sklearn is BSD-3-Clause; pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, AILearners is Apache-2.0. [AILearners](https://github.com/aimi-cn/AILearners) reports 693 GitHub stars, 149 forks, and 1 open issues, last pushed Nov 14, 2020. [auto-sklearn](https://automl.github.io/auto-sklearn) has 8.1k stars, 1.3k forks, and 210 open issues, last pushed Jun 29, 2026. Figures are from public GitHub metadata via [AILearners's repository](https://github.com/aimi-cn/AILearners) and [auto-sklearn's repository](https://github.com/automl/auto-sklearn). | | [AILearners](/tools/aimi-cn-ailearners.md) | [auto-sklearn](/tools/automl-auto-sklearn.md) | | --- | --- | --- | | Tagline | 机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战 | Automated Machine Learning with scikit-learn | | Stars | 693 | 8,119 | | Forks | 149 | 1,326 | | Open issues | 1 | 210 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-3-Clause | | Categories | Computer Vision | Model Training, Computer Vision, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AILearners](/tools/aimi-cn-ailearners.md) | [auto-sklearn](/tools/automl-auto-sklearn.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 2065d | 12d | | Open issues (now) | 1 | 210 | | Security scan | No lockfile | 22 low (22 low) | | Full report | [trust report](/tools/aimi-cn-ailearners/trust.md) | [trust report](/tools/automl-auto-sklearn/trust.md) | ## Shared compatibility - **Python**: [AILearners](/tools/aimi-cn-ailearners.md) - Python runtime; [auto-sklearn](/tools/automl-auto-sklearn.md) - Python runtime ## Choose when ### Choose AILearners if… - License: AILearners is Apache-2.0, auto-sklearn is BSD-3-Clause. - Tags unique to AILearners: deep-learning, jianzhioffer, ai, machine-learning. - Leaner open-issue backlog (1). ### Choose auto-sklearn if… - License: auto-sklearn is BSD-3-Clause, AILearners is Apache-2.0. - 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 NOT to use AILearners - Last GitHub push was 2066 days ago (dormant maintenance, Nov 14, 2020). Validate activity before betting a new project on AILearners. ## 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. ## Common questions ### What is the difference between AILearners and auto-sklearn? AILearners: 机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战. auto-sklearn: Automated Machine Learning with scikit-learn. See the comparison table for live GitHub stats and shared categories. ### When should I choose AILearners over auto-sklearn? Choose AILearners over auto-sklearn when License: AILearners is Apache-2.0, auto-sklearn is BSD-3-Clause; Tags unique to AILearners: deep-learning, jianzhioffer, ai, machine-learning; Leaner open-issue backlog (1). ### When should I choose auto-sklearn over AILearners? Choose auto-sklearn over AILearners when License: auto-sklearn is BSD-3-Clause, AILearners is Apache-2.0; 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 avoid AILearners? Last GitHub push was 2066 days ago (dormant maintenance, Nov 14, 2020). Validate activity before betting a new project on AILearners. ### 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. ### Is AILearners or auto-sklearn more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 693). Stars measure visibility, not whether either tool fits your constraints. ### Are AILearners and auto-sklearn open source? Yes - both are open-source projects on GitHub (AILearners: Apache-2.0, auto-sklearn: BSD-3-Clause). ### Where can I find alternatives to AILearners or auto-sklearn? GraphCanon lists graph-backed alternatives at [AILearners alternatives](/tools/aimi-cn-ailearners/alternatives) and [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) ([AILearners markdown twin](/tools/aimi-cn-ailearners/alternatives.md), [auto-sklearn markdown twin](/tools/automl-auto-sklearn/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/aimi-cn-ailearners-vs-automl-auto-sklearn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AILearners or auto-sklearn? AILearners: Dormant. auto-sklearn: 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 AILearners and auto-sklearn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AILearners trust report](/tools/aimi-cn-ailearners/trust); [auto-sklearn trust report](/tools/automl-auto-sklearn/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aimi-cn-ailearners`](/api/graphcanon/graph?tool=aimi-cn-ailearners) - 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/_