--- title: "awesome-gpt vs llm-books" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/formulahendry-awesome-gpt-vs-morsoli-llm-books" tools: ["formulahendry-awesome-gpt", "morsoli-llm-books"] --- # awesome-gpt vs llm-books *GraphCanon updated Jul 12, 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 llm-books if decision-Critical Facts for 'llm-books'. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) reports 1.0k GitHub stars, 76 forks, and 27 open issues, last pushed May 29, 2024. [llm-books](https://aitutor.liduos.com/) has 767 stars, 53 forks, and 6 open issues, last pushed Nov 29, 2024. Figures are from public GitHub metadata via [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt) and [llm-books's repository](https://github.com/morsoli/llm-books). | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [llm-books](/tools/morsoli-llm-books.md) | | --- | --- | --- | | Tagline | Curated list of GPT and related resources | Notes on practical application development using LLM | | Stars | 1,044 | 767 | | Forks | 76 | 53 | | Open issues | 27 | 6 | | Language | - | Python | | 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-Critical Facts for 'llm-books' | | Persona | - | - | | Runtime | - | - | | License | - | Unknown License | | Categories | LLM Frameworks, Developer Tools | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [llm-books](/tools/morsoli-llm-books.md) | | --- | --- | --- | | Days since push | 773d | 589d | | Open issues (now) | 27 | 6 | | Full report | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | [trust report](/tools/morsoli-llm-books/trust.md) | ## 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: llm-books - **Pricing:** unknown - **Adopt for:** Decision-Critical Facts for 'llm-books' - **License detail:** Unknown License ## 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: 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. ### 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 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 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. ## 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](/tools/formulahendry-awesome-gpt/alternatives) and [llm-books alternatives](/tools/morsoli-llm-books/alternatives) ([awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/alternatives.md), [llm-books markdown twin](/tools/morsoli-llm-books/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-morsoli-llm-books.md) 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](/tools/formulahendry-awesome-gpt/trust); [llm-books trust report](/tools/morsoli-llm-books/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/_