Categorizing the MLOps stack is a good way to write abstractions for a MLOps pipeline and standardize your processes. But ZenML goes further and also provides concrete implementations of these categories by integrating with many different
tools for each category. Once code is organized into a ZenML pipeline, you can supercharge your ML workflows with the best-in-class solutions from various MLOps areas.
In short, an integration in ZenML utilizes a third-party tool to implement one or more Stack Component abstractions.
There are lots of moving parts for all the MLOps tooling and infrastructure you require for ML in production and ZenML brings them all together and enables you to manage them in one place. This also allows you to delay the decision of which MLOps tool to use in your stack as you have no vendor lock-in with ZenML and can easily switch out tools as soon as your requirements change.
ZenML is the glue
We have a dedicated webpage that indexes all supported ZenML integrations and their categories.
Another easy way of seeing a list of integrations is to see the list of directories in the integrations directory on our GitHub.