# Overview

Welcome to the ZenML API documentation. This guide provides information about both the open-source (OSS) and Pro API endpoints available in the ZenML platform.

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>OSS API</strong></td><td>Open-source API endpoints for core ZenML functionality</td><td><a href="https://1923243478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fi7YEHe7o47cjJLXupcVm%2Fuploads%2Fgit-blob-59b80cf6fa3df01a5fe02b5b2bf25c1dceb9e6fa%2Foss-api.png?alt=media">oss-api.png</a></td><td><a href="oss-api/oss-api">oss-api</a></td></tr><tr><td><strong>Pro API</strong></td><td>Enhanced API endpoints for our pro features</td><td><a href="https://1923243478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fi7YEHe7o47cjJLXupcVm%2Fuploads%2Fgit-blob-f77ed3409e76eaf33419da6d7fc848ead25197f6%2Fpro-api.png?alt=media">pro-api.png</a></td><td><a href="pro-api/pro-api">pro-api</a></td></tr></tbody></table>

## Use Cases

While the ZenML Python SDK covers most workflow requirements, the Server API offers additional utility for:

* Automated scaling of operations in production environments.
* Integration with external monitoring and logging systems.
* Programmatic management and audit of resources and configurations.
* Enterprise team management and access control (Pro).

By leveraging the ZenML API, users can enhance the robustness and control of their machine learning workflows, ensuring operations are both efficient and scalable.

<figure><img src="https://static.scarf.sh/a.png?x-pxid=f0b4f458-0a54-4fcd-aa95-d5ee424815bc" alt="ZenML Scarf"><figcaption></figcaption></figure>