kelvins/awesome-mlops resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

5254 stars · 769 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of MLOps tools, covering categories like AutoML, CI/CD for ML, feature stores, model serving, drift detection, and workflow orchestration. It also links to articles, books, podcasts, and other resources for machine learning engineering.

Use cases

• find mlops tools for deploying machine learning models
• discover feature store and data validation tools
• learn about machine learning operations best practices
• compare automl and hyperparameter tuning tools
• find resources like books and podcasts on mlops
• find tools for model monitoring and drift detection

When to choose

• you want a broad, curated overview of the MLOps tooling ecosystem
• you are evaluating tools for a specific ML lifecycle stage like serving or monitoring
• you want learning resources such as books and podcasts on MLOps

When to avoid

• you need a working tool rather than a list of links
• you need detailed comparisons or benchmarks of the listed tools
• you need an actively maintained software dependency in your project

Facets

learning-resource · maturity active

developer-tools machine-learning ci-cd monitoring data-science machine-learning data-science awesome-lists python cross-platform awesome-list mlops curated-list model-deployment feature-store automl model-monitoring devops

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kelvins/awesome-mlops")