--- title: "awesome-chatgpt vs awesome-LLM-resources" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanloop-awesome-chatgpt-vs-wangrongsheng-awesome-llm-resources" tools: ["humanloop-awesome-chatgpt", "wangrongsheng-awesome-llm-resources"] --- # awesome-chatgpt vs awesome-LLM-resources *GraphCanon updated Aug 17, 2026* ## Verdict Pick awesome-chatgpt if awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions; pick awesome-LLM-resources if awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented. [awesome-chatgpt](https://github.com/humanloop/awesome-chatgpt) reports 8.2k GitHub stars, 556 forks, and 142 open issues, last pushed Oct 15, 2025. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 8.8k stars, 950 forks, and 23 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [awesome-chatgpt's repository](https://github.com/humanloop/awesome-chatgpt) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources). | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Tagline | Curated list of resources for ChatGPT and GPT-3 from OpenAI | Summary of the world's best LLM resources. | | Stars | 8,207 | 8,845 | | Forks | 556 | 950 | | Open issues | 142 | 23 | | Language | - | - | | Adopt for | Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions | awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 294d | 2d | | Open issues (now) | 142 | 23 | | Stars delta | Unknown | +142 (30d) | | Open issues delta | Unknown | -13 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/humanloop-awesome-chatgpt/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | ## Decision facts: awesome-chatgpt - **Adopt for:** Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions ## Decision facts: awesome-LLM-resources - **Adopt for:** awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a ## Choose when ### Choose awesome-chatgpt if… - Tags unique to awesome-chatgpt: chatgpt, chrome-extension, cross-platform-access, gpt-3. - You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### Choose awesome-LLM-resources if… - Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models. - Also covers AI Agents, Evaluation & Observability, LLM Frameworks, Model Training. - - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ## When NOT to use awesome-chatgpt - If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. - You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ## When NOT to use awesome-LLM-resources - - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ## Common questions ### What is the difference between awesome-chatgpt and awesome-LLM-resources? awesome-chatgpt: Curated list of resources for ChatGPT and GPT-3 from OpenAI. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-chatgpt over awesome-LLM-resources? Choose awesome-chatgpt over awesome-LLM-resources when Tags unique to awesome-chatgpt: chatgpt, chrome-extension, cross-platform-access, gpt-3; You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### When should I choose awesome-LLM-resources over awesome-chatgpt? Choose awesome-LLM-resources over awesome-chatgpt when Tags unique to awesome-LLM-resources: awesome-list, book, course, large language models; Also covers AI Agents, Evaluation & Observability, LLM Frameworks, Model Training; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### When should I avoid awesome-chatgpt? If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ### When should I avoid awesome-LLM-resources? - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ### Is awesome-chatgpt or awesome-LLM-resources more popular on GitHub? awesome-LLM-resources has more GitHub stars (8,845 vs 8,207). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-chatgpt and awesome-LLM-resources open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-chatgpt or awesome-LLM-resources? GraphCanon lists graph-backed alternatives at [awesome-chatgpt alternatives](/tools/humanloop-awesome-chatgpt/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([awesome-chatgpt markdown twin](/tools/humanloop-awesome-chatgpt/alternatives.md), [awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/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/humanloop-awesome-chatgpt-vs-wangrongsheng-awesome-llm-resources.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-chatgpt or awesome-LLM-resources? awesome-chatgpt: Slowing. awesome-LLM-resources: Very active. 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-chatgpt and awesome-LLM-resources? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-chatgpt trust report](/tools/humanloop-awesome-chatgpt/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanloop-awesome-chatgpt`](/api/graphcanon/graph?tool=humanloop-awesome-chatgpt) - 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/_