--- title: "promptsite vs llm-course" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dkuang1980-promptsite-vs-mlabonne-llm-course" tools: ["dkuang1980-promptsite", "mlabonne-llm-course"] --- # promptsite vs llm-course *GraphCanon updated Sep 20, 2026* ## Verdict Pick promptsite if promptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging; pick llm-course if llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks. [promptsite](https://github.com/dkuang1980/promptsite) reports 46 GitHub stars, 4 forks, and 2 open issues, last pushed Feb 3, 2025. [llm-course](https://mlabonne.github.io/blog/) has 83k stars, 9.7k forks, and 90 open issues, last pushed Feb 5, 2026. Figures are from public GitHub metadata via [promptsite's repository](https://github.com/dkuang1980/promptsite) and [llm-course's repository](https://github.com/mlabonne/llm-course). | | [promptsite](/tools/dkuang1980-promptsite.md) | [llm-course](/tools/mlabonne-llm-course.md) | | --- | --- | --- | | Tagline | A lightweight prompt version management package for LLM prompts | Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | | Stars | 46 | 83,011 | | Forks | 4 | 9,657 | | Open issues | 2 | 90 | | Language | Python | - | | Adopt for | PromptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging. | llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks. | | Persona | - | - | | Runtime | - | - | | License | PromptSite is available under the Apache-2.0 license, allowing for free use, modification, and distribution. | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsite](/tools/dkuang1980-promptsite.md) | [llm-course](/tools/mlabonne-llm-course.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 591d | 224d | | Open issues (now) | 2 | 90 | | Stars delta | 0 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | +4 (30d) | | Full report | [trust report](/tools/dkuang1980-promptsite/trust.md) | [trust report](/tools/mlabonne-llm-course/trust.md) | ## Shared compatibility - **Python**: [promptsite](/tools/dkuang1980-promptsite.md) - Python runtime; [llm-course](/tools/mlabonne-llm-course.md) - Python runtime ## Decision facts: promptsite - **Pricing:** freemium - PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned. - **Requirements:** Min 1 GB RAM; PromptSite requires Python to be installed on the system. - **Adopt for:** PromptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging. - **License detail:** PromptSite is available under the Apache-2.0 license, allowing for free use, modification, and distribution. ## Decision facts: llm-course - **Adopt for:** llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks. ## Choose when ### Choose promptsite if… - Pricing: PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned.. - Requirements: Min 1 GB RAM; PromptSite requires Python to be installed on the system.. - Tags unique to promptsite: debugging, experimentation, llm prompts, prompt-management. - When you need a lightweight solution for version control of LLM prompts specifically, as PromptSite is tailored for this purpose. ### Choose llm-course if… - Tags unique to llm-course: course, large-language-models, llm, machine-learning. - Also covers Evaluation & Observability, Inference & Serving, Model Training. - Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment. ## When NOT to use promptsite - If your project does not involve LLM prompts or if you are working in a non-Python environment, as PromptSite is Python-specific. - When you require a comprehensive framework that covers more than just prompt management, as PromptSite focuses narrowly on prompt versioning and experimentation. ## When NOT to use llm-course - Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation. - Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum. - Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path. ## Common questions ### What is the difference between promptsite and llm-course? promptsite: A lightweight prompt version management package for LLM prompts. llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsite over llm-course? Choose promptsite over llm-course when Pricing: PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned.; Requirements: Min 1 GB RAM; PromptSite requires Python to be installed on the system.; Tags unique to promptsite: debugging, experimentation, llm prompts, prompt-management; When you need a lightweight solution for version control of LLM prompts specifically, as PromptSite is tailored for this purpose. ### When should I choose llm-course over promptsite? Choose llm-course over promptsite when Tags unique to llm-course: course, large-language-models, llm, machine-learning; Also covers Evaluation & Observability, Inference & Serving, Model Training; Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment. ### When should I avoid promptsite? If your project does not involve LLM prompts or if you are working in a non-Python environment, as PromptSite is Python-specific. When you require a comprehensive framework that covers more than just prompt management, as PromptSite focuses narrowly on prompt versioning and experimentation. ### When should I avoid llm-course? Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation. Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum. Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path. ### Is promptsite or llm-course more popular on GitHub? llm-course has more GitHub stars (83,011 vs 46). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsite and llm-course open source? Yes - both are open-source projects on GitHub (promptsite: Apache-2.0, llm-course: Apache-2.0). ### Where can I find alternatives to promptsite or llm-course? GraphCanon lists graph-backed alternatives at [promptsite alternatives](/tools/dkuang1980-promptsite/alternatives) and [llm-course alternatives](/tools/mlabonne-llm-course/alternatives) ([promptsite markdown twin](/tools/dkuang1980-promptsite/alternatives.md), [llm-course markdown twin](/tools/mlabonne-llm-course/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/dkuang1980-promptsite-vs-mlabonne-llm-course.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsite or llm-course? promptsite: Dormant. llm-course: Slowing. 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 promptsite and llm-course? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsite trust report](/tools/dkuang1980-promptsite/trust); [llm-course trust report](/tools/mlabonne-llm-course/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dkuang1980-promptsite`](/api/graphcanon/graph?tool=dkuang1980-promptsite) - 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/_