--- title: "mlops-zoomcamp vs awesome-open-mlops" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datatalksclub-mlops-zoomcamp-vs-fuzzylabs-awesome-open-mlops" tools: ["datatalksclub-mlops-zoomcamp", "fuzzylabs-awesome-open-mlops"] --- # mlops-zoomcamp vs awesome-open-mlops *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-open-mlops if awesome-open-mlops highlights open-source MLOps tools specifically for model deployment and serving, offering a guide curated by Fuzzy Labs. [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-open-mlops](https://github.com/fuzzylabs/awesome-open-mlops) has 482 stars, 53 forks, and 6 open issues, last pushed May 19, 2025. Figures are from public GitHub metadata via [mlops-zoomcamp's repository](https://github.com/DataTalksClub/mlops-zoomcamp) and [awesome-open-mlops's repository](https://github.com/fuzzylabs/awesome-open-mlops). | | [mlops-zoomcamp](/tools/datatalksclub-mlops-zoomcamp.md) | [awesome-open-mlops](/tools/fuzzylabs-awesome-open-mlops.md) | | --- | --- | --- | | Tagline | Free MLOps course from DataTalks.Club | Model deployment and serving guide with open-source MLOps tools | | Stars | 15,308 | 482 | | Forks | 3,052 | 53 | | Open issues | 3 | 6 | | Language | Jupyter Notebook | - | | Adopt for | mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies. | awesome-open-mlops highlights open-source MLOps tools specifically for model deployment and serving, offering a guide curated by Fuzzy Labs. | | Persona | - | - | | Runtime | - | - | | License | - | Apache 2.0 licensed, compatible with other Apache software, promoting free use in both commercial and non-commercial contexts. | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mlops-zoomcamp](/tools/datatalksclub-mlops-zoomcamp.md) | [awesome-open-mlops](/tools/fuzzylabs-awesome-open-mlops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 473d | | Open issues (now) | 3 | 6 | | Stars delta | +191 (30d) | 0 (30d) | | Full report | [trust report](/tools/datatalksclub-mlops-zoomcamp/trust.md) | [trust report](/tools/fuzzylabs-awesome-open-mlops/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-open-mlops - **Hosting:** unknown - No specific details available. - **Pricing:** freemium - `awesome-open-mlops` is freely accessible but depends on the community for updates and content contributions. No paid services are associated with this repository, making it purely a curated resource. - **Adopt for:** awesome-open-mlops highlights open-source MLOps tools specifically for model deployment and serving, offering a guide curated by Fuzzy Labs. - **License detail:** Apache 2.0 licensed, compatible with other Apache software, promoting free use in both commercial and non-commercial contexts. ## Choose when ### Choose mlops-zoomcamp if… - Tags unique to mlops-zoomcamp: model-deployment, workflow-orchestration. - You require educational resources to understand MLOps deployment strategies - More GitHub stars (15k vs 482) - visibility, not fit. ### Choose awesome-open-mlops if… - No specific details available. - Pricing: `awesome-open-mlops` is freely accessible but depends on the community for updates and content contributions. No paid services are associated with this repository, making it purely a curated resource.. - Tags unique to awesome-open-mlops: datascience, devops, infrastructure, machine-learning. - When seeking a comprehensive list of open-source models focused on deploying and serving ML models for REST API use cases ## 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-open-mlops - Avoid if you need proprietary or commercial MLOps solutions that offer enterprise support or features not covered by open-source projects - Not suitable for scenarios where model serving frameworks outside of the curated list, such as those under different licenses like AGPL-3.0 used by BodyworkML, are required ## Common questions ### What is the difference between mlops-zoomcamp and awesome-open-mlops? mlops-zoomcamp: Free MLOps course from DataTalks.Club. awesome-open-mlops: Model deployment and serving guide with open-source MLOps tools. See the comparison table for live GitHub stats and shared categories. ### When should I choose mlops-zoomcamp over awesome-open-mlops? Choose mlops-zoomcamp over awesome-open-mlops when Tags unique to mlops-zoomcamp: model-deployment, workflow-orchestration; You require educational resources to understand MLOps deployment strategies; More GitHub stars (15k vs 482) - visibility, not fit. ### When should I choose awesome-open-mlops over mlops-zoomcamp? Choose awesome-open-mlops over mlops-zoomcamp when No specific details available; Pricing: `awesome-open-mlops` is freely accessible but depends on the community for updates and content contributions. No paid services are associated with this repository, making it purely a curated resource.; Tags unique to awesome-open-mlops: datascience, devops, infrastructure, machine-learning; When seeking a comprehensive list of open-source models focused on deploying and serving ML models for REST API use cases. ### 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-open-mlops? Avoid if you need proprietary or commercial MLOps solutions that offer enterprise support or features not covered by open-source projects Not suitable for scenarios where model serving frameworks outside of the curated list, such as those under different licenses like AGPL-3.0 used by BodyworkML, are required ### Is mlops-zoomcamp or awesome-open-mlops more popular on GitHub? mlops-zoomcamp has more GitHub stars (15,308 vs 482). Stars measure visibility, not whether either tool fits your constraints. ### Are mlops-zoomcamp and awesome-open-mlops open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to mlops-zoomcamp or awesome-open-mlops? GraphCanon lists graph-backed alternatives at [mlops-zoomcamp alternatives](/tools/datatalksclub-mlops-zoomcamp/alternatives) and [awesome-open-mlops alternatives](/tools/fuzzylabs-awesome-open-mlops/alternatives) ([mlops-zoomcamp markdown twin](/tools/datatalksclub-mlops-zoomcamp/alternatives.md), [awesome-open-mlops markdown twin](/tools/fuzzylabs-awesome-open-mlops/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-fuzzylabs-awesome-open-mlops.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-open-mlops? mlops-zoomcamp: Very active. awesome-open-mlops: 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 mlops-zoomcamp and awesome-open-mlops? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mlops-zoomcamp trust report](/tools/datatalksclub-mlops-zoomcamp/trust); [awesome-open-mlops trust report](/tools/fuzzylabs-awesome-open-mlops/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/_