Curated List / Resource Collection
5.1k 2026-04-14
kelvins/awesome-mlops
A comprehensive, curated list of essential MLOps tools and resources, categorized to streamline the machine learning operations workflow.
Core Features
Extensive collection of MLOps tools
Categorized by MLOps lifecycle stages (e.g., AutoML, CI/CD, Data Management, Model Serving)
Includes valuable MLOps resources like articles, books, and events
Community-driven and regularly updated
Detailed Introduction
Awesome MLOps is a meticulously curated collection designed to guide machine learning practitioners through the complex landscape of MLOps tools and resources. It systematically organizes various solutions across the entire MLOps lifecycle, from data management and model training to deployment and monitoring. This list serves as an invaluable starting point for anyone looking to build robust, scalable, and efficient machine learning pipelines, offering insights into popular open-source projects and essential learning materials.