Comparison
mlops-zoomcamp vs awesome-mlops
Verdict
Pick mlops-zoomcamp if mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies; pick awesome-mlops if awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML.
Markdown twin · mlops-zoomcamp alternatives · awesome-mlops alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | mlops-zoomcamp | awesome-mlops |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Active (18d since push) As of Sep 4, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 4, 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-mlops
- A curated list of awesome MLOps tools.
Stars
- mlops-zoomcamp
- 15k
- awesome-mlops
- 5.3k
Forks
- mlops-zoomcamp
- 3.1k
- awesome-mlops
- 775
Open issues
- mlops-zoomcamp
- 3
- awesome-mlops
- 82
Language
- mlops-zoomcamp
- Jupyter Notebook
- awesome-mlops
- Python
Adopt for
- mlops-zoomcamp
- mlops-zoomcamp offers free instruction on deploying machine learning models in various settings using open technologies.
- awesome-mlops
- Awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML.
Persona
- mlops-zoomcamp
- -
- awesome-mlops
- -
Runtime
- mlops-zoomcamp
- -
- awesome-mlops
- -
License
- mlops-zoomcamp
- -
- awesome-mlops
- -
Last pushed
- mlops-zoomcamp
- Sep 15, 2026
- awesome-mlops
- Aug 17, 2026
Categories
- mlops-zoomcamp
- Inference & Serving
- awesome-mlops
- Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- mlops-zoomcamp
- Very active (96%)
- awesome-mlops
- Active (82%)
Days since push
- mlops-zoomcamp
- 4d
- awesome-mlops
- 18d
Open issues (now)
- mlops-zoomcamp
- 3
- awesome-mlops
- 82
Stars delta
- mlops-zoomcamp
- +191 (30d)
- awesome-mlops
- +36 (30d)
Open issues delta
- mlops-zoomcamp
- 0 (30d)
- awesome-mlops
- +11 (30d)
Owner type
- mlops-zoomcamp
- Organization
- awesome-mlops
- User
Full report
- mlops-zoomcamp
- Trust report
- awesome-mlops
- Trust report
Choose mlops-zoomcamp if…
- mlops-zoomcamp is primarily Jupyter Notebook; awesome-mlops is Python.
- 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-mlops if…
- awesome-mlops is primarily Python; mlops-zoomcamp is Jupyter Notebook.
- Tags unique to awesome-mlops: ai, awesome, data-science, machine-learning.
- Also covers Developer Tools, Evaluation & Observability, Model Training.
- You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
When NOT to use awesome-mlops
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform.
- Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
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 (kelvins/awesome-mlops) · observed Sep 20, 2026
- GitHub forks (kelvins/awesome-mlops) · observed Sep 20, 2026
- Last push (kelvins/awesome-mlops) · observed Aug 17, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mlops-zoomcamp 15k · awesome-mlops 5.3k (synced Sep 20, 2026).
Common questions
- What is the difference between mlops-zoomcamp and awesome-mlops?
- mlops-zoomcamp: Free MLOps course from DataTalks.Club. awesome-mlops: A curated list of awesome MLOps tools.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mlops-zoomcamp over awesome-mlops?
- Choose mlops-zoomcamp over awesome-mlops when mlops-zoomcamp is primarily Jupyter Notebook; awesome-mlops is Python; Tags unique to mlops-zoomcamp: model-deployment, workflow-orchestration; You require educational resources to understand MLOps deployment strategies.
- When should I choose awesome-mlops over mlops-zoomcamp?
- Choose awesome-mlops over mlops-zoomcamp when awesome-mlops is primarily Python; mlops-zoomcamp is Jupyter Notebook; Tags unique to awesome-mlops: ai, awesome, data-science, machine-learning; Also covers Developer Tools, Evaluation & Observability, Model Training; You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
- 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-mlops?
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform. Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
- Is mlops-zoomcamp or awesome-mlops more popular on GitHub?
- mlops-zoomcamp has more GitHub stars (15,308 vs 5,265). Stars measure visibility, not whether either tool fits your constraints.
- Are mlops-zoomcamp and awesome-mlops open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to mlops-zoomcamp or awesome-mlops?
- GraphCanon lists graph-backed alternatives at mlops-zoomcamp alternatives and awesome-mlops alternatives (mlops-zoomcamp markdown twin, awesome-mlops 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-mlops?
- mlops-zoomcamp: Very active. awesome-mlops: Active. 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-mlops?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mlops-zoomcamp trust report; awesome-mlops trust report.