--- title: "llm-course vs raga-llm-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mlabonne-llm-course-vs-raga-ai-hub-raga-llm-hub" tools: ["mlabonne-llm-course", "raga-ai-hub-raga-llm-hub"] --- # llm-course vs raga-llm-hub *GraphCanon updated Jul 11, 2026* ## Verdict Pick llm-course when license: llm-course is Apache-2.0, raga-llm-hub is Other; pick raga-llm-hub when license: raga-llm-hub is Other, llm-course is Apache-2.0. [llm-course](https://mlabonne.github.io/blog/) reports 81k GitHub stars, 9.4k forks, and 84 open issues, last pushed Feb 5, 2026. [raga-llm-hub](https://www.raga.ai/llms) has 114 stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. Figures are from public GitHub metadata via [llm-course's repository](https://github.com/mlabonne/llm-course) and [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub). | | [llm-course](/tools/mlabonne-llm-course.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Tagline | Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | Framework for LLM evaluation, guardrails and security | | Stars | 80,839 | 114 | | Forks | 9,421 | 14 | | Open issues | 84 | 2 | | Language | - | Python | | Adopt for | The llm-course provides a comprehensive guided course on Large Language Models (LLMs), divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. It includes resources such as Colab notebooks to | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability | LLM Frameworks, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-course](/tools/mlabonne-llm-course.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 155d | 670d | | Open issues (now) | 84 | 2 | | Owner type | User | Organization | | Full report | [trust report](/tools/mlabonne-llm-course/trust.md) | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | ## Shared compatibility - **Python**: [llm-course](/tools/mlabonne-llm-course.md) - Python runtime; [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) - Python runtime ## Decision facts: llm-course - **Requirements:** Course materials are available in Colab notebooks; access requires a Google account - **Adopt for:** The llm-course provides a comprehensive guided course on Large Language Models (LLMs), divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. It includes resources such as Colab notebooks to - **License detail:** Apache-2.0 ## Choose when ### Choose llm-course if… - License: llm-course is Apache-2.0, raga-llm-hub is Other. - Requirements: Course materials are available in Colab notebooks; access requires a Google account. - Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models. - Also covers Model Training, Inference & Serving. - - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge ### Choose raga-llm-hub if… - License: raga-llm-hub is Other, llm-course is Apache-2.0. - Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security. - Leaner open-issue backlog (2). ## When NOT to use llm-course - - If you only require a quick introduction to LLMs without deep dive into core components - - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI ## When NOT to use raga-llm-hub - Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between llm-course and raga-llm-hub? llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-course over raga-llm-hub? Choose llm-course over raga-llm-hub when License: llm-course is Apache-2.0, raga-llm-hub is Other; Requirements: Course materials are available in Colab notebooks; access requires a Google account; Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models; Also covers Model Training, Inference & Serving; - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge. ### When should I choose raga-llm-hub over llm-course? Choose raga-llm-hub over llm-course when License: raga-llm-hub is Other, llm-course is Apache-2.0; Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security; Leaner open-issue backlog (2). ### When should I avoid llm-course? - If you only require a quick introduction to LLMs without deep dive into core components - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI ### When should I avoid raga-llm-hub? Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is llm-course or raga-llm-hub more popular on GitHub? llm-course has more GitHub stars (80,839 vs 114). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-course and raga-llm-hub open source? Yes - both are open-source projects on GitHub (llm-course: Apache-2.0, raga-llm-hub: Other). ### Where can I find alternatives to llm-course or raga-llm-hub? GraphCanon lists graph-backed alternatives at [llm-course alternatives](/tools/mlabonne-llm-course/alternatives) and [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) ([llm-course markdown twin](/tools/mlabonne-llm-course/alternatives.md), [raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/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/mlabonne-llm-course-vs-raga-ai-hub-raga-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-course or raga-llm-hub? llm-course: Slowing. raga-llm-hub: 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 llm-course and raga-llm-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-course trust report](/tools/mlabonne-llm-course/trust); [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mlabonne-llm-course`](/api/graphcanon/graph?tool=mlabonne-llm-course) - 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/_