Comparison
mlops-zoomcamp vs Awesome-LLMOps
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.
Markdown twin · mlops-zoomcamp alternatives · Awesome-LLMOps alternatives
GraphCanon updated Sep 20, 2026
13views this month
vs
Trust & integrity
| Signal | mlops-zoomcamp | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (121d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- mlops-zoomcamp
- Free MLOps course from DataTalks.Club
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- mlops-zoomcamp
- 15k
- Awesome-LLMOps
- 5.9k
Forks
- mlops-zoomcamp
- 3.1k
- Awesome-LLMOps
- 1.1k
Open issues
- mlops-zoomcamp
- 3
- Awesome-LLMOps
- 317
Language
- mlops-zoomcamp
- Jupyter Notebook
- Awesome-LLMOps
- Shell
Adopt for
- mlops-zoomcamp
- mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies.
- Awesome-LLMOps
- 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
- mlops-zoomcamp
- -
- Awesome-LLMOps
- -
Runtime
- mlops-zoomcamp
- -
- Awesome-LLMOps
- -
License
- mlops-zoomcamp
- -
- Awesome-LLMOps
- CC0-1.0
Last pushed
- mlops-zoomcamp
- Sep 15, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- mlops-zoomcamp
- Inference & Serving
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- mlops-zoomcamp
- Very active (96%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- mlops-zoomcamp
- 4d
- Awesome-LLMOps
- 121d
Open issues (now)
- mlops-zoomcamp
- 3
- Awesome-LLMOps
- 317
Stars delta
- mlops-zoomcamp
- +191 (30d)
- Awesome-LLMOps
- +26 (30d)
Open issues delta
- mlops-zoomcamp
- 0 (30d)
- Awesome-LLMOps
- +70 (30d)
Full report
- mlops-zoomcamp
- Trust report
- Awesome-LLMOps
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DataTalksClub/mlops-zoomcamp) · observed Sep 20, 2026
- GitHub forks (DataTalksClub/mlops-zoomcamp) · observed Sep 20, 2026
- Last push (DataTalksClub/mlops-zoomcamp) · observed Sep 15, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Sep 20, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Sep 20, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mlops-zoomcamp 15k · Awesome-LLMOps 5.9k (synced Sep 20, 2026).
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 and Awesome-LLMOps alternatives (mlops-zoomcamp markdown twin, Awesome-LLMOps markdown twin), 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 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; Awesome-LLMOps trust report.