[Yandex Cloud documentation](../../../index.md) > [Yandex DataSphere](../../index.md) > [Step-by-step guides](../index.md) > DataSphere Notebook > Connecting to JupyterLab from a local IDE

# Connecting to a project JupyterLab from a local IDE

DataSphere enables you to work with projects from any local IDE which supports the use of remote Jupyter servers. This feature is disabled by default; however, the community admin can enable it in the [community settings](../community/manage-community-config.md).

{% note info %}

You must have the `datasphere.communities.admin` [role](../../security/index.md#roles-list) in the community to enable the remote IDE support. Only users with the `datasphere.community-projects.developer` role or higher can get a link for connecting to a project from an IDE.

{% endnote %}

Here is an example of connecting to a project using [Visual Studio Code](https://code.visualstudio.com/):

1. Open the DataSphere [home page](https://datasphere.yandex.cloud). In the left-hand panel, select ![community-panel](../../../_assets/console-icons/circles-concentric.svg) **Communities**.
1. Select the community your project belongs to.
1. Go to the **Restrictions** tab.
1. Under **Project mode**, enable **Connect external IDEs**.
1. Go to the **Projects** tab and select your project.
1. In the project settings, under **General settings**, click **Edit**.
1. In the **VM configuration for remote connection** field, select the [VM configuration](../../concepts/configurations.md) and click **Save**.
1. Click **Open project in JupyterLab** and wait for the project to load.
1. In the top-right corner, click **Share** ⟶ **Link for external IDE**.
1. Click **Copy link**.
1. Open an `ipynb` file in Visual Studio Code.
1. In the top-right corner, click the button with your Python version.
1. On the panel that opens, click **Select Notebook Kernel** ⟶ **Existing Jupyter Server**.
1. Paste the link you copied and press **Enter**.

Once connection is established, all computations will run in DataSphere. The started VM will be running until you stop it in the DataSphere interface.