--- title: "awesome-gpt vs Awesome-AI-Data-Guided-Projects" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/formulahendry-awesome-gpt-vs-youssefhosni-awesome-ai-data-guided-projects" tools: ["formulahendry-awesome-gpt", "youssefhosni-awesome-ai-data-guided-projects"] --- # awesome-gpt vs Awesome-AI-Data-Guided-Projects *GraphCanon updated Aug 6, 2026* ## Verdict Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; 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-gpt](https://github.com/formulahendry/awesome-gpt) reports 1.0k GitHub stars, 75 forks, and 27 open issues, last pushed May 29, 2024. [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-gpt's repository](https://github.com/formulahendry/awesome-gpt) and [Awesome-AI-Data-Guided-Projects's repository](https://github.com/youssefHosni/Awesome-AI-Data-Guided-Projects). | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [Awesome-AI-Data-Guided-Projects](/tools/youssefhosni-awesome-ai-data-guided-projects.md) | | --- | --- | --- | | Tagline | Curated list of GPT and related resources | A curated list of data science & AI guided projects for portfolio-building | | Stars | 1,043 | 723 | | Forks | 75 | 151 | | Open issues | 27 | 2 | | Language | - | - | | Adopt for | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | 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 License allows free use for personal and commercial purposes but requires users to make their modifications available under the same license terms. | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [Awesome-AI-Data-Guided-Projects](/tools/youssefhosni-awesome-ai-data-guided-projects.md) | | --- | --- | --- | | Days since push | 799d | 817d | | Open issues (now) | 27 | 2 | | Full report | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | [trust report](/tools/youssefhosni-awesome-ai-data-guided-projects/trust.md) | ## Shared compatibility - **OpenAI API**: [awesome-gpt](/tools/formulahendry-awesome-gpt.md) - OpenAI API; [Awesome-AI-Data-Guided-Projects](/tools/youssefhosni-awesome-ai-data-guided-projects.md) - OpenAI API ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## 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-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: chatgpt, gpt, openai. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### Choose Awesome-AI-Data-Guided-Projects if… - Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning. - Also covers Model Training. - You need guided projects to build conversational chatbot applications. ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## 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-gpt and Awesome-AI-Data-Guided-Projects? awesome-gpt: Curated list of GPT and related 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-gpt over Awesome-AI-Data-Guided-Projects? Choose awesome-gpt over Awesome-AI-Data-Guided-Projects when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, openai; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I choose Awesome-AI-Data-Guided-Projects over awesome-gpt? Choose Awesome-AI-Data-Guided-Projects over awesome-gpt when Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning; Also covers Model Training; You need guided projects to build conversational chatbot applications. ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### 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-gpt or Awesome-AI-Data-Guided-Projects more popular on GitHub? awesome-gpt has more GitHub stars (1,043 vs 723). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-gpt and Awesome-AI-Data-Guided-Projects open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-gpt or Awesome-AI-Data-Guided-Projects? GraphCanon lists graph-backed alternatives at [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) and [Awesome-AI-Data-Guided-Projects alternatives](/tools/youssefhosni-awesome-ai-data-guided-projects/alternatives) ([awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/formulahendry-awesome-gpt-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-gpt or Awesome-AI-Data-Guided-Projects? awesome-gpt: Dormant. 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-gpt and Awesome-AI-Data-Guided-Projects? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust); [Awesome-AI-Data-Guided-Projects trust report](/tools/youssefhosni-awesome-ai-data-guided-projects/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=formulahendry-awesome-gpt`](/api/graphcanon/graph?tool=formulahendry-awesome-gpt) - 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/_