--- title: "awesome-AutoML vs Awesome-AI-Data-Guided-Projects" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/windmaple-awesome-automl-vs-youssefhosni-awesome-ai-data-guided-projects" tools: ["windmaple-awesome-automl", "youssefhosni-awesome-ai-data-guided-projects"] --- # awesome-AutoML vs Awesome-AI-Data-Guided-Projects *GraphCanon updated Aug 4, 2026* ## Verdict Pick awesome-AutoML if curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning; pick Awesome-AI-Data-Guided-Projects if awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI. [awesome-AutoML](https://github.com/windmaple/awesome-AutoML) reports 941 GitHub stars, 156 forks, and 1 open issues, last pushed Mar 24, 2026. [Awesome-AI-Data-Guided-Projects](https://github.com/youssefHosni/Awesome-AI-Data-Guided-Projects) has 723 stars, 151 forks, and 2 open issues, last pushed May 5, 2024. Figures are from public GitHub metadata via [awesome-AutoML's repository](https://github.com/windmaple/awesome-AutoML) and [Awesome-AI-Data-Guided-Projects's repository](https://github.com/youssefHosni/Awesome-AI-Data-Guided-Projects). | | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | [Awesome-AI-Data-Guided-Projects](/tools/youssefhosni-awesome-ai-data-guided-projects.md) | | --- | --- | --- | | Tagline | Curating AutoML research and resources | A curated list of data science & AI guided projects for portfolio-building | | Stars | 941 | 723 | | Forks | 156 | 151 | | Open issues | 1 | 2 | | Language | - | - | | Adopt for | Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. | Awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | GPL-3.0 License allows free use for personal and commercial purposes but requires users to make their modifications available under the same license terms. | | Categories | Model Training | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | [Awesome-AI-Data-Guided-Projects](/tools/youssefhosni-awesome-ai-data-guided-projects.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 133d | 817d | | Open issues (now) | 1 | 2 | | Full report | [trust report](/tools/windmaple-awesome-automl/trust.md) | [trust report](/tools/youssefhosni-awesome-ai-data-guided-projects/trust.md) | ## Decision facts: awesome-AutoML - **Adopt for:** Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. ## Decision facts: Awesome-AI-Data-Guided-Projects - **Adopt for:** Awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI. - **License detail:** GPL-3.0 License allows free use for personal and commercial purposes but requires users to make their modifications available under the same license terms. ## Choose when ### Choose awesome-AutoML if… - 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. - More GitHub stars (941 vs 723) - visibility, not fit. ### Choose Awesome-AI-Data-Guided-Projects if… - Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning. - Also covers Developer Tools, LLM Frameworks. - You need guided projects to build conversational chatbot applications. ## 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. ## When NOT to use Awesome-AI-Data-Guided-Projects - Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects. - In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides. ## Common questions ### What is the difference between awesome-AutoML and Awesome-AI-Data-Guided-Projects? awesome-AutoML: Curating AutoML research and resources. Awesome-AI-Data-Guided-Projects: A curated list of data science & AI guided projects for portfolio-building. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-AutoML over Awesome-AI-Data-Guided-Projects? Choose awesome-AutoML over Awesome-AI-Data-Guided-Projects when 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; More GitHub stars (941 vs 723) - visibility, not fit. ### When should I choose Awesome-AI-Data-Guided-Projects over awesome-AutoML? Choose Awesome-AI-Data-Guided-Projects over awesome-AutoML when Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning; Also covers Developer Tools, LLM Frameworks; You need guided projects to build conversational chatbot applications. ### 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. ### When should I avoid Awesome-AI-Data-Guided-Projects? Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects. In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides. ### Is awesome-AutoML or Awesome-AI-Data-Guided-Projects more popular on GitHub? awesome-AutoML has more GitHub stars (941 vs 723). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-AutoML and Awesome-AI-Data-Guided-Projects open source? Yes - both are open-source projects on GitHub (awesome-AutoML: GPL-3.0, Awesome-AI-Data-Guided-Projects: GPL-3.0). ### Where can I find alternatives to awesome-AutoML or Awesome-AI-Data-Guided-Projects? GraphCanon lists graph-backed alternatives at [awesome-AutoML alternatives](/tools/windmaple-awesome-automl/alternatives) and [Awesome-AI-Data-Guided-Projects alternatives](/tools/youssefhosni-awesome-ai-data-guided-projects/alternatives) ([awesome-AutoML markdown twin](/tools/windmaple-awesome-automl/alternatives.md), [Awesome-AI-Data-Guided-Projects markdown twin](/tools/youssefhosni-awesome-ai-data-guided-projects/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/windmaple-awesome-automl-vs-youssefhosni-awesome-ai-data-guided-projects.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-AutoML or Awesome-AI-Data-Guided-Projects? awesome-AutoML: Slowing. Awesome-AI-Data-Guided-Projects: 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 awesome-AutoML and Awesome-AI-Data-Guided-Projects? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-AutoML trust report](/tools/windmaple-awesome-automl/trust); [Awesome-AI-Data-Guided-Projects trust report](/tools/youssefhosni-awesome-ai-data-guided-projects/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=windmaple-awesome-automl`](/api/graphcanon/graph?tool=windmaple-awesome-automl) - 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/_