--- title: "mlops-zoomcamp vs Awesome-LLMOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datatalksclub-mlops-zoomcamp-vs-tensorchord-awesome-llmops" tools: ["datatalksclub-mlops-zoomcamp", "tensorchord-awesome-llmops"] --- # mlops-zoomcamp vs Awesome-LLMOps *GraphCanon updated Sep 20, 2026* ## Verdict Pick mlops-zoomcamp if mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies; pick Awesome-LLMOps if awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more. [mlops-zoomcamp](https://courses.datatalks.club/register/mlops-zoomcamp/) reports 15k GitHub stars, 3.1k forks, and 3 open issues, last pushed Sep 15, 2026. [Awesome-LLMOps](https://github.com/tensorchord/Awesome-LLMOps) has 5.9k stars, 1.1k forks, and 317 open issues, last pushed May 21, 2026. Figures are from public GitHub metadata via [mlops-zoomcamp's repository](https://github.com/DataTalksClub/mlops-zoomcamp) and [Awesome-LLMOps's repository](https://github.com/tensorchord/Awesome-LLMOps). | | [mlops-zoomcamp](/tools/datatalksclub-mlops-zoomcamp.md) | [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) | | --- | --- | --- | | Tagline | Free MLOps course from DataTalks.Club | An awesome & curated list of best LLMOps tools for developers | | Stars | 15,308 | 5,941 | | Forks | 3,052 | 1,058 | | Open issues | 3 | 317 | | Language | Jupyter Notebook | Shell | | Adopt for | mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies. | Awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more. | | Persona | - | - | | Runtime | - | - | | License | - | CC0-1.0 | | Categories | Inference & Serving | Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mlops-zoomcamp](/tools/datatalksclub-mlops-zoomcamp.md) | [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 121d | | Open issues (now) | 3 | 317 | | Stars delta | +191 (30d) | +26 (30d) | | Open issues delta | 0 (30d) | +70 (30d) | | Full report | [trust report](/tools/datatalksclub-mlops-zoomcamp/trust.md) | [trust report](/tools/tensorchord-awesome-llmops/trust.md) | ## Decision facts: mlops-zoomcamp - **Adopt for:** mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies. ## Decision facts: Awesome-LLMOps - **Adopt for:** Awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more. ## Choose when ### Choose mlops-zoomcamp if… - mlops-zoomcamp is primarily Jupyter Notebook; Awesome-LLMOps is Shell. - Tags unique to mlops-zoomcamp: model-deployment, workflow-orchestration. - You require educational resources to understand MLOps deployment strategies ### Choose Awesome-LLMOps if… - Awesome-LLMOps is primarily Shell; mlops-zoomcamp is Jupyter Notebook. - Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops. - Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio. - - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management. ## When NOT to use mlops-zoomcamp - Your team prefers courses that offer hands-on lab environments with proprietary tools - If you need a certificate recognized by an institutional body for continuing education credits ## When NOT to use Awesome-LLMOps - - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list. - - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources. ## Common questions ### What is the difference between mlops-zoomcamp and Awesome-LLMOps? mlops-zoomcamp: Free MLOps course from DataTalks.Club. Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers. See the comparison table for live GitHub stats and shared categories. ### When should I choose mlops-zoomcamp over Awesome-LLMOps? Choose mlops-zoomcamp over Awesome-LLMOps when mlops-zoomcamp is primarily Jupyter Notebook; Awesome-LLMOps is Shell; Tags unique to mlops-zoomcamp: model-deployment, workflow-orchestration; You require educational resources to understand MLOps deployment strategies. ### When should I choose Awesome-LLMOps over mlops-zoomcamp? Choose Awesome-LLMOps over mlops-zoomcamp when Awesome-LLMOps is primarily Shell; mlops-zoomcamp is Jupyter Notebook; Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management. ### When should I avoid mlops-zoomcamp? Your team prefers courses that offer hands-on lab environments with proprietary tools If you need a certificate recognized by an institutional body for continuing education credits ### When should I avoid Awesome-LLMOps? - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list. - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources. ### Is mlops-zoomcamp or Awesome-LLMOps more popular on GitHub? mlops-zoomcamp has more GitHub stars (15,308 vs 5,941). Stars measure visibility, not whether either tool fits your constraints. ### Are mlops-zoomcamp and Awesome-LLMOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to mlops-zoomcamp or Awesome-LLMOps? GraphCanon lists graph-backed alternatives at [mlops-zoomcamp alternatives](/tools/datatalksclub-mlops-zoomcamp/alternatives) and [Awesome-LLMOps alternatives](/tools/tensorchord-awesome-llmops/alternatives) ([mlops-zoomcamp markdown twin](/tools/datatalksclub-mlops-zoomcamp/alternatives.md), [Awesome-LLMOps markdown twin](/tools/tensorchord-awesome-llmops/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/datatalksclub-mlops-zoomcamp-vs-tensorchord-awesome-llmops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mlops-zoomcamp or Awesome-LLMOps? mlops-zoomcamp: Very active. Awesome-LLMOps: 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 mlops-zoomcamp and Awesome-LLMOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mlops-zoomcamp trust report](/tools/datatalksclub-mlops-zoomcamp/trust); [Awesome-LLMOps trust report](/tools/tensorchord-awesome-llmops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=datatalksclub-mlops-zoomcamp`](/api/graphcanon/graph?tool=datatalksclub-mlops-zoomcamp) - 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/_