Third-party Editors

In addition to the built-in Cloudera AI editor, you can configure Cloudera AI to work with third-party, browser-based IDEs such as Jupyter and also certain local IDEs that run on your machine, such as PyCharm.

When you bring your own editor, you still get many of the benefits Cloudera AI behind an editor interface you are familiar with:

Dependency management that lets you share code with confidence
CDH client configurations
Automatic Kerberos authentication through Cloudera AI
Reuse code in other Cloudera AI features such as experiments and jobs
Collaboration features such as teams
Compliance with IT rules for where compute, data, and/or code must reside. For example, compute occurs within the Cloudera AI deployment, not the local machine. Browser IDEs run within a Cloudera AI session and follow all the same compliance rules. Local IDEs, on the other hand, can bring data or code to a user's machine. Therefore, Site Administrators can opt to disable local IDEs to balance user productivity with compliance concerns.

In the Cloudera AI documentation, browser-based IDEs like Jupyter will be referred to as "browser IDEs". IDEs such as PyCharm that run on your machine outside of your browser will be referred to as "local IDEs" because they run on your local machine. You can use the browser or local IDE of your choice to edit and run code interactively.

Note that you can only edit and run code interactively with the IDEs. Tasks such as creating a project or deploying a model require the Cloudera AI web UI and cannot be completed through an editor.