Home/Compare/awesome-gpt vs llm-books

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 Oct 11, 2026

17views this month

awesome-gpt logo

awesome-gpt

formulahendry/awesome-gpt

★ 1.0kpushed May 29, 2024
vs
llm-books logo

llm-books

morsoli/llm-books

★ 766pushed Nov 29, 2024

Trust & integrity

Signalawesome-gptllm-books
Maintenance
Dormant (865d since push)
As of Oct 11, 2026 · github_public_v1
Dormant (659d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Oct 11, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 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

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
766

Forks

awesome-gpt
79
llm-books
53

Open issues

awesome-gpt
31
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
Developer Tools, LLM Frameworks
llm-books
Developer Tools, LLM Frameworks

Trust and health

Days since push

awesome-gpt
865d
llm-books
659d

Open issues (now)

awesome-gpt
31
llm-books
6

Stars delta

awesome-gpt
+1 (30d)
llm-books
-1 (30d)

Open issues delta

awesome-gpt
+2 (30d)
llm-books
0 (30d)

Full report

awesome-gpt
Trust report
llm-books
Trust report

Shared compatibility

  • ChatGPT · awesome-gpt: Works with ChatGPT · llm-books: Works with ChatGPT
  • OpenAI API · awesome-gpt: OpenAI API · llm-books: OpenAI API

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: chatgpt-api, langchain, llmops.
  • 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 Nov 29, 2024 (dormant maintenance). Validate activity before betting a new project on llm-books.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-gpt 1.0k · llm-books 766 (synced Oct 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: chatgpt-api, langchain, llmops; 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 Nov 29, 2024 (dormant maintenance). Validate activity before betting a new project on llm-books. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is awesome-gpt or llm-books more popular on GitHub?
awesome-gpt has more GitHub stars (1,045 vs 766). 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.

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