> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Editor Lite

## Why use the lightweight editor?

The default `ae-editor` image includes several pre-configured conda environments to support a range of common data science workflows. If you prefer a more minimalistic installation of Workbench, or need to [configure your own custom environments](https://anaconda.com/docs/data-science/latest/admin/custom_env_proj.md) due to internal security requirements, use the `ae-editor-lite` image instead.

## Switching to the lightweight editor

> [tab] k3s or BYOK8s
>
> > [!WARNING]
> >
> > Switching to the `ae-editor-lite` image post installation on your own is possible, but we still recommend [opening a support ticket](https://support.anaconda.com/hc/en-us/requests/new) to schedule time with an Anaconda Integration Engineer if you want to use the lightweight editor.
>
> 1. Follow instructions for [setting platform configurations using the Helm chart](https://anaconda.com/docs/data-science/latest/admin/advanced/settings.md#setting-platform-configurations-using-the-helm-chart) and add the following lines to the bottom of your `helm_values.yaml` file:
>
>    ```yaml theme={null}
>    image:
>      suffix: lite
>    ```
>
> 2. Once the helm upgrade completes, restart your pods by running the following command:
>
>    ```sh theme={null}
>    # Replace <NAMESPACE> with the namespace where your pods are running (the default namespace is anaconda)
>    kubectl delete -n <NAMESPACE> --wait=false $(kubectl get pods -o name|grep ap-)
>    ```

> [tab] Gravity
>
> For Gravity installations, this process is slightly more complex, and not user friendly. Please contact your dedicated Account Manager or [open a support ticket](https://support.anaconda.com/hc/en-us/requests/new) to schedule time with an Anaconda Integration Engineer to switch to the lightweight editor.