Streamlit on Ubuntu 24.04 LTS by cloudimg

## Streamlit on Ubuntu 24.04 LTS by cloudimg

Streamlit is the fastest way to build and share data apps. Write a Python script and Streamlit turns it into an interactive web app - charts, dataframes, widgets, maps and more - with no front-end code. It is the go-to framework for data scientists and ML engineers building dashboards, internal tools and model demos. The cloudimg image installs Streamlit 1.58.0 in a dedicated Python virtualenv, serves a sample dashboard app as a systemd service bound to loopback behind an nginx reverse proxy on port 80 with HTTP Basic auth, persists the app and its data on a dedicated Azure data disk, and generates a unique login password on the first boot of every VM. Backed by 24/7 expert support.

Dedicated Data Disk

The sample app and any data live on a dedicated, independently resizable Azure data disk mounted at /var/lib/streamlit, separate from the OS disk and re-provisioned with every VM. Replace /var/lib/streamlit/app.py with your own Streamlit script and restart the service.

Secure By Default

Streamlit has no built-in authentication, so the server is bound to loopback and nginx fronts it on port 80 with HTTP Basic auth and websocket proxying. The per-VM admin password is unique to each VM, generated on first boot and stored in a root-only file. Front the proxy with TLS for production.

Why Choose cloudimg?

* 24/7 Expert Support with guaranteed 24 hour response. Contact support@cloudimg.co.uk

* Production Ready from Launch Pre configured, security patched, and validated before publication

* Azure Native Integration Built with Azure Linux Agent, cloud init, and Gen2 Hyper V

What is Included

* Streamlit 1.58.0 in a Python virtualenv at /opt/streamlit/venv (with pandas and numpy)

* A sample interactive dashboard app, served behind nginx on port 80

* HTTP Basic auth with a per-VM password in a root-only file

* A dedicated Azure data disk at /var/lib/streamlit for the app and data

* streamlit.service and nginx.service as systemd units, enabled and active

Use Cases

Data dashboards and internal tools, machine learning model demos and interfaces, interactive data exploration, reporting apps, and a self-hosted alternative to managed data-app hosting.

Visit www.cloudimg.co.uk/guides/streamlit-on-ubuntu-24-04-azure for the full user guide.

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