--- title: "Data-Science-EBooks vs awesome-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aniketpotabatti-data-science-ebooks-vs-formulahendry-awesome-gpt" tools: ["aniketpotabatti-data-science-ebooks", "formulahendry-awesome-gpt"] --- # Data-Science-EBooks vs awesome-gpt *GraphCanon updated Aug 6, 2026* ## Verdict Pick Data-Science-EBooks if data-Science-EBooks provides a broad range of eBook resources covering foundational to advanced aspects in Data Science and AI; 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. [Data-Science-EBooks](https://github.com/aniketpotabatti/Data-Science-EBooks) reports 949 GitHub stars, 300 forks, and 0 open issues, last pushed Nov 30, 2025. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 75 forks, and 27 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [Data-Science-EBooks's repository](https://github.com/aniketpotabatti/Data-Science-EBooks) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt). | | [Data-Science-EBooks](/tools/aniketpotabatti-data-science-ebooks.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Tagline | Repository of high-quality eBooks on Data Science, Machine Learning, AI | Curated list of GPT and related resources | | Stars | 949 | 1,043 | | Forks | 300 | 75 | | Open issues | 0 | 27 | | Language | - | - | | Adopt for | Data-Science-EBooks provides a broad range of eBook resources covering foundational to advanced aspects in Data Science and AI. | 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. | | Persona | - | - | | Runtime | - | - | | License | - | - | | Categories | Developer Tools | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Data-Science-EBooks](/tools/aniketpotabatti-data-science-ebooks.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 242d | 799d | | Open issues (now) | 0 | 27 | | Full report | [trust report](/tools/aniketpotabatti-data-science-ebooks/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | ## Decision facts: Data-Science-EBooks - **Adopt for:** Data-Science-EBooks provides a broad range of eBook resources covering foundational to advanced aspects in Data Science and AI. ## 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. ## Choose when ### Choose Data-Science-EBooks if… - Tags unique to Data-Science-EBooks: ai, computer-vision, data-analysis, data-mining. - Use when seeking self-paced learningmaterials that covera vast arrayof subjectsfrombasics tomoredetailed aspects of data science, machinelearning,AI. - More recently updated (last pushed Nov 30, 2025). ### 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, llm, openai. - Also covers LLM Frameworks. - 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 NOT to use Data-Science-EBooks - Avoid ifyour needsalignmore closelywith interactivecontentorhands-on courseswhich this repositorydoesnotprovide. - Do not use if you are looking for materialswrittenin a language other than English. ## 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. ## Common questions ### What is the difference between Data-Science-EBooks and awesome-gpt? Data-Science-EBooks: Repository of high-quality eBooks on Data Science, Machine Learning, AI. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose Data-Science-EBooks over awesome-gpt? Choose Data-Science-EBooks over awesome-gpt when Tags unique to Data-Science-EBooks: ai, computer-vision, data-analysis, data-mining; Use when seeking self-paced learningmaterials that covera vast arrayof subjectsfrombasics tomoredetailed aspects of data science, machinelearning,AI; More recently updated (last pushed Nov 30, 2025). ### When should I choose awesome-gpt over Data-Science-EBooks? Choose awesome-gpt over Data-Science-EBooks 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, llm, openai; Also covers LLM Frameworks; 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 avoid Data-Science-EBooks? Avoid ifyour needsalignmore closelywith interactivecontentorhands-on courseswhich this repositorydoesnotprovide. Do not use if you are looking for materialswrittenin a language other than English. ### 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. ### Is Data-Science-EBooks or awesome-gpt more popular on GitHub? awesome-gpt has more GitHub stars (1,043 vs 949). Stars measure visibility, not whether either tool fits your constraints. ### Are Data-Science-EBooks and awesome-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Data-Science-EBooks or awesome-gpt? GraphCanon lists graph-backed alternatives at [Data-Science-EBooks alternatives](/tools/aniketpotabatti-data-science-ebooks/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([Data-Science-EBooks markdown twin](/tools/aniketpotabatti-data-science-ebooks/alternatives.md), [awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/aniketpotabatti-data-science-ebooks-vs-formulahendry-awesome-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Data-Science-EBooks or awesome-gpt? Data-Science-EBooks: Slowing. awesome-gpt: 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 Data-Science-EBooks and awesome-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Data-Science-EBooks trust report](/tools/aniketpotabatti-data-science-ebooks/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aniketpotabatti-data-science-ebooks`](/api/graphcanon/graph?tool=aniketpotabatti-data-science-ebooks) - 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/_