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 for apps developed using JavaScript frameworks. Manage dependencies using
npm
andpackage.json
. - System resources: Each app can use up to 2 virtual CPUs (vCPUs) and 6 GB of memory. If your app exceeds these limits, Databricks might restart it.
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 |
---|---|
| The name of the running app. |
| The unique ID for the Databricks workspace the app belongs to. |
| The URL of the Databricks workspace to which the app belongs. |
| The network port the app should listen on. |
| The client ID for the Databricks service principal assigned to the app. |
| 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 |
---|---|
| The server address for use by Streamlit. This value is set to |
| The port for use by Streamlit. This value is set to |
| Because the Databricks Apps reverse proxy protects against Cross-Site Request Forgery (XSRF), this is set to |
| Because the Databricks Apps reverse proxy protects against Cross-Origin Resource Sharing (CORS), This is set to |
| This is set to |
| This is set to |
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.