MLOps or ML Ops is a paradigm that aims to deploy and maintain Machine Learning models in production reliably and efficiently. The word is a compound of “machine learning” and the continuous development practice of DevOps in the software field. Machine learning models are tested and developed in isolated experimental systems.
| Tool/Framework | Description |
|---|---|
| MLRun | MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle |
| ClearML | Auto-Magical CI/CD to streamline your AI workload. |
| Metaflow | Build, Manage and Deploy AI/ML Systems |
| Flyte | Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks. |