Comparison
Data-Science-EBooks vs awesome-gpt
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.
Markdown twin · Data-Science-EBooks alternatives · awesome-gpt alternatives
GraphCanon updated Sep 23, 2026
8views this month
vs
Trust & integrity
| Signal | Data-Science-EBooks | awesome-gpt |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 23, 2026 · github_public_v1 | Dormant (830d since push) As of Sep 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 23, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 6, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Data-Science-EBooks
- Repository of high-quality eBooks on Data Science, Machine Learning, AI
- awesome-gpt
- Curated list of GPT and related resources
Stars
- Data-Science-EBooks
- 975
- awesome-gpt
- 1.0k
Forks
- Data-Science-EBooks
- 312
- awesome-gpt
- 77
Open issues
- Data-Science-EBooks
- 0
- awesome-gpt
- 29
Language
- Data-Science-EBooks
- -
- awesome-gpt
- -
Adopt for
- Data-Science-EBooks
- Data-Science-EBooks provides a broad range of eBook resources covering foundational to advanced aspects in Data Science and AI.
- awesome-gpt
- 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
- Data-Science-EBooks
- -
- awesome-gpt
- -
Runtime
- Data-Science-EBooks
- -
- awesome-gpt
- -
License
- Data-Science-EBooks
- -
- awesome-gpt
- -
Last pushed
- Data-Science-EBooks
- Sep 19, 2026
- awesome-gpt
- May 29, 2024
Categories
- Data-Science-EBooks
- Developer Tools
- awesome-gpt
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- Data-Science-EBooks
- Very active (96%)
- awesome-gpt
- Dormant (18%)
Days since push
- Data-Science-EBooks
- 3d
- awesome-gpt
- 830d
Open issues (now)
- Data-Science-EBooks
- 0
- awesome-gpt
- 29
Stars delta
- Data-Science-EBooks
- +26 (30d)
- awesome-gpt
- +1 (30d)
Open issues delta
- Data-Science-EBooks
- 0 (30d)
- awesome-gpt
- +2 (30d)
Full report
- Data-Science-EBooks
- Trust report
- awesome-gpt
- Trust report
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 Sep 19, 2026).
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aniketpotabatti/Data-Science-EBooks) · observed Sep 23, 2026
- GitHub forks (aniketpotabatti/Data-Science-EBooks) · observed Sep 23, 2026
- Last push (aniketpotabatti/Data-Science-EBooks) · observed Sep 19, 2026
- License file (unknown) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (formulahendry/awesome-gpt) · observed Sep 20, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Sep 20, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Data-Science-EBooks 975 · awesome-gpt 1.0k (synced Sep 23, 2026).
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 Sep 19, 2026).
- 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 (1,044 vs 975). 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 and awesome-gpt alternatives (Data-Science-EBooks markdown twin, awesome-gpt markdown twin), 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 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: Very active. 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; awesome-gpt trust report.