Comparison
awesome-gpt vs llm-books
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 llm-books if decision-Critical Facts for 'llm-books'.
Markdown twin · awesome-gpt alternatives · llm-books alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-gpt | llm-books |
|---|---|---|
| Maintenance | Dormant (773d since push) As of today · github_public_v1 | Dormant (589d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- awesome-gpt
- Curated list of GPT and related resources
- llm-books
- Notes on practical application development using LLM
Stars
- awesome-gpt
- 1.0k
- llm-books
- 767
Forks
- awesome-gpt
- 76
- llm-books
- 53
Open issues
- awesome-gpt
- 27
- llm-books
- 6
Language
- awesome-gpt
- -
- llm-books
- Python
Adopt for
- 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.
- llm-books
- Decision-Critical Facts for 'llm-books'
Persona
- awesome-gpt
- -
- llm-books
- -
Runtime
- awesome-gpt
- -
- llm-books
- -
License
- awesome-gpt
- -
- llm-books
- Unknown License
Last pushed
- awesome-gpt
- May 29, 2024
- llm-books
- Nov 29, 2024
Categories
- awesome-gpt
- LLM Frameworks, Developer Tools
- llm-books
- LLM Frameworks, Developer Tools
Trust and health
Days since push
- awesome-gpt
- 773d
- llm-books
- 589d
Open issues (now)
- awesome-gpt
- 27
- llm-books
- 6
Full report
- awesome-gpt
- Trust report
- llm-books
- Trust report
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: gpt.
- 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.
Choose llm-books if…
- Tags unique to llm-books: llmops, chatgpt-api, langchain.
- llm-books ships Docker support for self-hosted deployment.
- Decision-Critical Facts for 'llm-books'
When NOT to use llm-books
- Last GitHub push was 589 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on llm-books.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (formulahendry/awesome-gpt) · observed Jul 11, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Jul 11, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (morsoli/llm-books) · observed Jul 11, 2026
- GitHub forks (morsoli/llm-books) · observed Jul 11, 2026
- Last push (morsoli/llm-books) · observed Nov 29, 2024
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-gpt 1.0k · llm-books 767 (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-gpt and llm-books?
- awesome-gpt: Curated list of GPT and related resources. llm-books: Notes on practical application development using LLM. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-gpt over llm-books?
- Choose awesome-gpt over llm-books 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: gpt; 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 llm-books over awesome-gpt?
- Choose llm-books over awesome-gpt when Tags unique to llm-books: llmops, chatgpt-api, langchain; llm-books ships Docker support for self-hosted deployment; Decision-Critical Facts for 'llm-books'.
- 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 llm-books?
- Last GitHub push was 589 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on llm-books. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is awesome-gpt or llm-books more popular on GitHub?
- awesome-gpt has more GitHub stars (1,044 vs 767). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and llm-books open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or llm-books?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and llm-books alternatives (awesome-gpt markdown twin, llm-books 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, awesome-gpt or llm-books?
- awesome-gpt: Dormant. llm-books: 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 llm-books?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; llm-books trust report.