A curated list of awesome open source and commercial MLOps platforms 🚀

• ClearML: Auto-Magical experiment manager and version control for AI (previously Trains).
• CNVRG: An end-to-end machine learning platform to build and deploy AI models at scale.
• DAGsHub: A platform built on open source tools for data, model and pipeline management.
• Dataiku: Platform democratizing access to data and enabling enterprises to build their own path to AI.
• DataRobot: AI platform that democratizes data science and automates the end-to-end ML at scale.
• Domino: One place for your data science tools, apps, results, models, and knowledge.
• Determined: Deep learning training platform with integrated support for distributed training, hyperparameter tuning, and model management (supports Tensorflow and Pytorch).
• Flyte: A cloud native machine learning and data processing platform.
• Gradient: Multicloud CI/CD and MLOps platform for machine learning teams.
• H2O: Open source leader in AI with a mission to democratize AI for everyone.
• Hopsworks: Open-source platform for developing and operating machine learning models at scale.
• Iguazio: Data science platform that automates MLOps with end-to-end machine learning pipelines.
• Knime: Create and productionize data science using one easy and intuitive environment.
• Kubeflow: A machine learning toolkit for Kubernetes.
• MLRun: A framework that offers an integrative approach to managing your machine-learning pipelines from early development through model development to full pipeline deployment in production.
• Onepanel: Production scale vision AI platform, with fully integrated components for model building, automated labeling, data processing and model training pipelines.
• Open Platform for AI: Platform that provides complete AI model training and resource management capabilities.
• Pachyderm: Open source distributed processing framework build on Kubernetes focused mainly on dynamic building of production machine learning pipelines.
• Polyaxon: A cloud native machine learning management & orchestration platform.
• Sagemaker: Fully managed service that provides the ability to build, train, and deploy ML models quickly.
• Valohai: Takes you from POC to production while managing the whole model lifecycle.
• ZenML: An extensible, open-source MLOps framework to create reproducible ML pipelines with a focus on automated metadata tracking, caching, and many integrations to other tools.