--- title: "auto-sklearn vs ClashRoyaleBuildABot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-pbatch-clashroyalebuildabot" tools: ["automl-auto-sklearn", "pbatch-clashroyalebuildabot"] --- # auto-sklearn vs ClashRoyaleBuildABot *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, ClashRoyaleBuildABot is MIT; pick ClashRoyaleBuildABot when license: ClashRoyaleBuildABot is MIT, 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. [ClashRoyaleBuildABot](https://github.com/Pbatch/ClashRoyaleBuildABot) has 368 stars, 66 forks, and 24 open issues, last pushed Jun 13, 2026. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [ClashRoyaleBuildABot's repository](https://github.com/Pbatch/ClashRoyaleBuildABot). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [ClashRoyaleBuildABot](/tools/pbatch-clashroyalebuildabot.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | A platform for creating bots to play Clash Royale | | Stars | 8,119 | 368 | | Forks | 1,326 | 66 | | Open issues | 210 | 24 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | 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) | [ClashRoyaleBuildABot](/tools/pbatch-clashroyalebuildabot.md) | | --- | --- | --- | | Days since push | 12d | 28d | | Open issues (now) | 210 | 24 | | Owner type | Organization | User | | Security scan | 22 low (22 low) | No lockfile | | Full report | [trust report](/tools/automl-auto-sklearn/trust.md) | [trust report](/tools/pbatch-clashroyalebuildabot/trust.md) | ## Shared compatibility - **Python**: [auto-sklearn](/tools/automl-auto-sklearn.md) - Python runtime; [ClashRoyaleBuildABot](/tools/pbatch-clashroyalebuildabot.md) - Python runtime ## Choose when ### Choose auto-sklearn if… - License: auto-sklearn is BSD-3-Clause, ClashRoyaleBuildABot is MIT. - 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 ClashRoyaleBuildABot if… - License: ClashRoyaleBuildABot is MIT, auto-sklearn is BSD-3-Clause. - Tags unique to ClashRoyaleBuildABot: adb, ai, bluestacks, clashroyale. - Leaner open-issue backlog (24). ## 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. ## Common questions ### What is the difference between auto-sklearn and ClashRoyaleBuildABot? auto-sklearn: Automated Machine Learning with scikit-learn. ClashRoyaleBuildABot: A platform for creating bots to play Clash Royale. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over ClashRoyaleBuildABot? Choose auto-sklearn over ClashRoyaleBuildABot when License: auto-sklearn is BSD-3-Clause, ClashRoyaleBuildABot is MIT; 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 ClashRoyaleBuildABot over auto-sklearn? Choose ClashRoyaleBuildABot over auto-sklearn when License: ClashRoyaleBuildABot is MIT, auto-sklearn is BSD-3-Clause; Tags unique to ClashRoyaleBuildABot: adb, ai, bluestacks, clashroyale; Leaner open-issue backlog (24). ### 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. ### Is auto-sklearn or ClashRoyaleBuildABot more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 368). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and ClashRoyaleBuildABot open source? Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, ClashRoyaleBuildABot: MIT). ### Where can I find alternatives to auto-sklearn or ClashRoyaleBuildABot? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [ClashRoyaleBuildABot alternatives](/tools/pbatch-clashroyalebuildabot/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [ClashRoyaleBuildABot markdown twin](/tools/pbatch-clashroyalebuildabot/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-pbatch-clashroyalebuildabot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or ClashRoyaleBuildABot? auto-sklearn: Active. ClashRoyaleBuildABot: 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 auto-sklearn and ClashRoyaleBuildABot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [ClashRoyaleBuildABot trust report](/tools/pbatch-clashroyalebuildabot/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/_