visenger/awesome-mlops resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

14165 stars · 2107 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 references, tools, books, papers, and courses for MLOps (Machine Learning Operations). It covers the full ML lifecycle including data engineering, deployment, testing, monitoring, and governance.

Use cases

• find resources for putting machine learning models into production
• learn mlops best practices and workflows
• discover tools for ml model deployment and monitoring
• find books and papers about machine learning operations
• learn about feature stores and data engineering for ml
• explore ml model governance and responsible ai resources

When to choose

• you want a broad curated starting point for learning MLOps
• you need references across the whole ML lifecycle from data to deployment
• you are building a learning path for ML engineering teams

When to avoid

• you need a runnable tool or framework rather than a reference list
• you need up-to-date tooling recommendations with hands-on support
• you want a structured course rather than a link collection

Facets

learning-resource · maturity active

developer-tools documentation machine-learning data-science awesome-lists tutorials cross-platform awesome-list mlops curated-resources machine-learning-operations reference devops

Member repositories

For agents

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