--- title: "auto-sklearn vs ECCV2022-Papers-with-Code-Demo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-sklearn-vs-dwctod-eccv2022-papers-with-code-demo" tools: ["automl-auto-sklearn", "dwctod-eccv2022-papers-with-code-demo"] --- # auto-sklearn vs ECCV2022-Papers-with-Code-Demo *GraphCanon updated Jul 12, 2026* ## Verdict Pick auto-sklearn when tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; pick ECCV2022-Papers-with-Code-Demo when pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.. [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. [ECCV2022-Papers-with-Code-Demo](https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo) has 281 stars, 21 forks, and 0 open issues, last pushed Nov 15, 2022. Figures are from public GitHub metadata via [auto-sklearn's repository](https://github.com/automl/auto-sklearn) and [ECCV2022-Papers-with-Code-Demo's repository](https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo). | | [auto-sklearn](/tools/automl-auto-sklearn.md) | [ECCV2022-Papers-with-Code-Demo](/tools/dwctod-eccv2022-papers-with-code-demo.md) | | --- | --- | --- | | Tagline | Automated Machine Learning with scikit-learn | 收集 ECCV 最新的成果，包括论文、代码和demo视频等 | | Stars | 8,119 | 281 | | Forks | 1,326 | 21 | | Open issues | 210 | 0 | | Language | Python | - | | Adopt for | - | ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | - | | 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) | [ECCV2022-Papers-with-Code-Demo](/tools/dwctod-eccv2022-papers-with-code-demo.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 1333d | | Open issues (now) | 210 | 0 | | 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/dwctod-eccv2022-papers-with-code-demo/trust.md) | ## Decision facts: ECCV2022-Papers-with-Code-Demo - **Pricing:** freemium - The repository is free to use, but certain resources and features may require additional paid services as suggested within its content. - **Adopt for:** ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ## Choose when ### Choose auto-sklearn if… - 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 ECCV2022-Papers-with-Code-Demo if… - Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.. - Tags unique to ECCV2022-Papers-with-Code-Demo: ai, computer-vision, cv, dataset. - ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ## 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. ## When NOT to use ECCV2022-Papers-with-Code-Demo - Use for broader coverage of top conferences if you need resources beyond ECCV 2022. - Do not rely on this tool if the latest advancements from other conferences or preprints are needed. ## Common questions ### What is the difference between auto-sklearn and ECCV2022-Papers-with-Code-Demo? auto-sklearn: Automated Machine Learning with scikit-learn. ECCV2022-Papers-with-Code-Demo: 收集 ECCV 最新的成果，包括论文、代码和demo视频等. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-sklearn over ECCV2022-Papers-with-Code-Demo? Choose auto-sklearn over ECCV2022-Papers-with-Code-Demo when 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 ECCV2022-Papers-with-Code-Demo over auto-sklearn? Choose ECCV2022-Papers-with-Code-Demo over auto-sklearn when Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.; Tags unique to ECCV2022-Papers-with-Code-Demo: ai, computer-vision, cv, dataset; ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ### 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. ### When should I avoid ECCV2022-Papers-with-Code-Demo? Use for broader coverage of top conferences if you need resources beyond ECCV 2022. Do not rely on this tool if the latest advancements from other conferences or preprints are needed. ### Is auto-sklearn or ECCV2022-Papers-with-Code-Demo more popular on GitHub? auto-sklearn has more GitHub stars (8,119 vs 281). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-sklearn and ECCV2022-Papers-with-Code-Demo open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to auto-sklearn or ECCV2022-Papers-with-Code-Demo? GraphCanon lists graph-backed alternatives at [auto-sklearn alternatives](/tools/automl-auto-sklearn/alternatives) and [ECCV2022-Papers-with-Code-Demo alternatives](/tools/dwctod-eccv2022-papers-with-code-demo/alternatives) ([auto-sklearn markdown twin](/tools/automl-auto-sklearn/alternatives.md), [ECCV2022-Papers-with-Code-Demo markdown twin](/tools/dwctod-eccv2022-papers-with-code-demo/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-dwctod-eccv2022-papers-with-code-demo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-sklearn or ECCV2022-Papers-with-Code-Demo? auto-sklearn: Active. ECCV2022-Papers-with-Code-Demo: 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 ECCV2022-Papers-with-Code-Demo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-sklearn trust report](/tools/automl-auto-sklearn/trust); [ECCV2022-Papers-with-Code-Demo trust report](/tools/dwctod-eccv2022-papers-with-code-demo/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/_