--- title: "classifai vs awesome-AutoML" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/10up-classifai-vs-windmaple-awesome-automl" tools: ["10up-classifai", "windmaple-awesome-automl"] --- # classifai vs awesome-AutoML *GraphCanon updated Aug 4, 2026* ## Verdict Pick classifai if classifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement; pick awesome-AutoML if curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. [classifai](https://classifaiplugin.com) reports 710 GitHub stars, 64 forks, and 113 open issues, last pushed Jul 30, 2026. [awesome-AutoML](https://github.com/windmaple/awesome-AutoML) has 941 stars, 156 forks, and 1 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [classifai's repository](https://github.com/10up/classifai) and [awesome-AutoML's repository](https://github.com/windmaple/awesome-AutoML). | | [classifai](/tools/10up-classifai.md) | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | | --- | --- | --- | | Tagline | Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence | Curating AutoML research and resources | | Stars | 710 | 941 | | Forks | 64 | 156 | | Open issues | 113 | 1 | | Language | PHP | - | | Adopt for | ClassifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement. | Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. | | Persona | - | - | | Runtime | - | - | | License | GPL-2.0 | GPL-3.0 | | Categories | Computer Vision, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [classifai](/tools/10up-classifai.md) | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 133d | | Open issues (now) | 113 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/10up-classifai/trust.md) | [trust report](/tools/windmaple-awesome-automl/trust.md) | ## Decision facts: classifai - **Adopt for:** ClassifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement. ## Decision facts: awesome-AutoML - **Adopt for:** Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. ## Choose when ### Choose classifai if… - License: classifai is GPL-2.0, awesome-AutoML is GPL-3.0. - Tags unique to classifai: ai, artificial-intelligence, classification, computer-vision. - Also covers Computer Vision. - When you need advanced content tagging and automatic categorization through computer vision on a WordPress site. ### Choose awesome-AutoML if… - License: awesome-AutoML is GPL-3.0, classifai is GPL-2.0. - Tags unique to awesome-AutoML: automl, hyperparameter-optimization, meta-learning, neural-architecture-search. - When seeking comprehensive resources on diverse AutoML topics from recent and impactful research. ## When NOT to use classifai - For projects where the minimum PHP version required is below 7.4, given that ClassifAI mandates at least this version. - When there's a need for a more lightweight solution without the overhead of integrating with multiple external services like Microsoft Azure or IBM Watson. ## When NOT to use awesome-AutoML - If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides. - When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool. ## Common questions ### What is the difference between classifai and awesome-AutoML? classifai: Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. awesome-AutoML: Curating AutoML research and resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose classifai over awesome-AutoML? Choose classifai over awesome-AutoML when License: classifai is GPL-2.0, awesome-AutoML is GPL-3.0; Tags unique to classifai: ai, artificial-intelligence, classification, computer-vision; Also covers Computer Vision; When you need advanced content tagging and automatic categorization through computer vision on a WordPress site. ### When should I choose awesome-AutoML over classifai? Choose awesome-AutoML over classifai when License: awesome-AutoML is GPL-3.0, classifai is GPL-2.0; Tags unique to awesome-AutoML: automl, hyperparameter-optimization, meta-learning, neural-architecture-search; When seeking comprehensive resources on diverse AutoML topics from recent and impactful research. ### When should I avoid classifai? For projects where the minimum PHP version required is below 7.4, given that ClassifAI mandates at least this version. When there's a need for a more lightweight solution without the overhead of integrating with multiple external services like Microsoft Azure or IBM Watson. ### When should I avoid awesome-AutoML? If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides. When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool. ### Is classifai or awesome-AutoML more popular on GitHub? awesome-AutoML has more GitHub stars (941 vs 710). Stars measure visibility, not whether either tool fits your constraints. ### Are classifai and awesome-AutoML open source? Yes - both are open-source projects on GitHub (classifai: GPL-2.0, awesome-AutoML: GPL-3.0). ### Where can I find alternatives to classifai or awesome-AutoML? GraphCanon lists graph-backed alternatives at [classifai alternatives](/tools/10up-classifai/alternatives) and [awesome-AutoML alternatives](/tools/windmaple-awesome-automl/alternatives) ([classifai markdown twin](/tools/10up-classifai/alternatives.md), [awesome-AutoML markdown twin](/tools/windmaple-awesome-automl/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/10up-classifai-vs-windmaple-awesome-automl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, classifai or awesome-AutoML? classifai: Very active. awesome-AutoML: 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 classifai and awesome-AutoML? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [classifai trust report](/tools/10up-classifai/trust); [awesome-AutoML trust report](/tools/windmaple-awesome-automl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=10up-classifai`](/api/graphcanon/graph?tool=10up-classifai) - 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/_