Databricks Apps system environment

The following describes the system environment in which your Databricks app runs:

• Operating system: Ubuntu 22.04 LTS

• Python environment: Python 3.11, running in a dedicated virtual environment. All dependencies are isolated within this environment, including libraries defined in requirements.txt and pre-installed libraries.

• Node.js environment: Node.js version 22.16. Manage dependencies using npm and package.json.

• System resources: By default, each app can use up to 2 virtual CPUs (vCPUs) and 6 GB of memory. Configure the compute size to adjust CPU and memory allocation based on your workload requirements. See Configure the compute size for a Databricks app.

  Beta

  App compute sizing is in Beta.

View environment details

To view the environment for a specific app, including environment variables and installed packages, go to the Environment tab on the details page for the app. See View the details for a Databricks app.

Default environment variables

The following environment variables are available in every app:

Variable	Description
DATABRICKS_APP_NAME	The name of the running app.
DATABRICKS_WORKSPACE_ID	The unique ID for the Databricks workspace the app belongs to.
DATABRICKS_HOST	The URL of the Databricks workspace to which the app belongs.
DATABRICKS_APP_PORT	The network port the app should listen on.
DATABRICKS_CLIENT_ID	The client ID for the Databricks service principal assigned to the app.
DATABRICKS_CLIENT_SECRET	The OAuth secret for the Databricks service principal assigned to the app.

Default environment variables for Streamlit

If you use the Streamlit framework, the Databricks Apps environment pre-configures several Streamlit-specific environment variables:

Variable	Description
STREAMLIT_SERVER_ADDRESS	The server address for use by Streamlit. This value is set to 0.0.0.0 and must not be overridden.
STREAMLIT_SERVER_PORT	The port for use by Streamlit. This value is set to DATABRICKS_APP_PORT and must not be overridden.
STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION	Because the Databricks Apps reverse proxy protects against Cross-Site Request Forgery (XSRF), this is set to false.
STREAMLIT_SERVER_ENABLE_CORS	Because the Databricks Apps reverse proxy protects against Cross-Origin Resource Sharing (CORS), This is set to false.
STREAMLIT_SERVER_HEADLESS	This is set to true so Streamlit runs without opening a browser window when starting.
STREAMLIT_BROWSER_GATHER_USAGE_STATS	This is set to false to prevent sending user stats to Streamlit.

Pre-installed Python libraries

The following Python libraries are pre-installed in the Databricks Apps environment. You don’t need to include them in your app unless you require a different version.

Library	Version
databricks-sql-connector	3.4.0
databricks-sdk	0.33.0
mlflow-skinny	2.16.2
gradio	4.44.0
streamlit	1.38.0
shiny	1.1.0
dash	2.18.1
flask	3.0.3
fastapi	0.115.0
uvicorn[standard]	0.30.6
gunicorn	23.0.0
dash-ag-grid	31.2.0
dash-mantine-components	0.14.4
dash-bootstrap-components	1.6.0
plotly	5.24.1
plotly-resampler	0.10.0

No Node.js libraries are pre-installed in the Databricks Apps environment. For Node.js apps, you must explicitly list all dependencies in your package.json file to ensure they are installed at runtime.