Overview
Streamlit demo app
The bundled Streamlit demo app served on port 80 through an authenticating nginx proxy, showing the title, sidebar controls and an interactive line chart.
Streamlit demo app
Interactive controls
Interactive dataframe
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview Streamlit is a fast, open source Python framework for building and sharing beautiful, interactive data and machine learning apps. You write plain Python scripts and Streamlit turns them into rich web apps with widgets, charts, dataframes and layout, with no front end code required. This image delivers Streamlit fully installed in a dedicated virtual environment and run as a system service, so a working data app is serving within minutes of launch.
Application Stack Streamlit installed into a dedicated Python virtual environment under /opt/streamlit and run by an unprivileged service account. The application directory, holding the virtual environment and the app script, stored on a dedicated data disk so it is independently resizable. A systemd service that starts the app on boot and restarts it on failure. An nginx reverse proxy that publishes the app on port 80 behind HTTP Basic authentication, with the WebSocket upgrade that Streamlit needs to render fully.
Ready To Run Demo App A polished multi widget demo app ships at /opt/streamlit/app.py: a title, sidebar controls, an interactive dataframe and a chart driven by pandas and numpy. It shows what a Streamlit app looks like out of the box and gives you a working example to learn from. Replace it with your own Python app and restart the service to go live.
Secure First Boot On the first boot of your instance a one shot service generates a fresh admin password, unique to that instance, writes it into the nginx credentials file and writes the password to a root only file. The Streamlit process itself binds to loopback only and is never exposed without authentication. No shared or default credentials ship in the image.
Full WebSocket Support Streamlit drives its interactive interface over a WebSocket. The bundled nginx proxy forwards the WebSocket upgrade and connection headers, so the app loads and updates instantly behind authentication instead of hanging on a loading screen. The health endpoint is reachable for monitoring.
cloudimg Support 24/7 technical support by email and chat. Help with deployment, deploying your own app, Python dependency management, TLS, authentication and performance tuning.
Use Cases Interactive data and analytics dashboards. Machine learning model demos and internal tools. Data exploration and reporting apps. Rapid prototyping of Python powered web apps. A self hosted home for the Streamlit apps your team builds.
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Highlights
- Streamlit preinstalled in a dedicated Python virtual environment and run as a systemd service behind an authenticating nginx proxy with full WebSocket support, serving a polished demo data app on port 80, no manual setup required
- Write plain Python to build interactive data and machine learning apps with widgets, charts and dataframes; the application directory lives on a dedicated independently resizable data disk and you replace the bundled app with your own
- Hardened first boot generates a fresh admin password for every instance and stores it in a file only the root user can read, the app binds to loopback only, with 24/7 technical support from cloudimg
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Dimension | Description | Cost/hour |
|---|---|---|
t3.large Recommended | t3.large | $0.08 |
t3.micro | t3.micro instance type | $0.04 |
t2.micro | t2.micro instance type | $0.04 |
c6in.xlarge | c6in.xlarge instance type | $0.12 |
m8azn.medium | m8azn.medium instance type | $0.04 |
r7a.48xlarge | r7a.48xlarge instance type | $0.24 |
c8id.4xlarge | c8id.4xlarge instance type | $0.24 |
d3en.xlarge | d3en.xlarge instance type | $0.12 |
c8a.8xlarge | c8a.8xlarge instance type | $0.24 |
m8in.4xlarge | m8in.4xlarge instance type | $0.24 |
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Refunds available on request.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of Streamlit 1.58.0 with a ready-to-run demo data app behind an authenticating nginx proxy.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). The Streamlit app is served on port 80: browse to http://<instance-public-ip>/ and sign in with user admin and the generated password. Retrieve the credentials with: sudo cat /root/streamlit-credentials.txt. nginx reverse-proxies port 80 to the Streamlit process on 127.0.0.1:8501 (with the WebSocket upgrade Streamlit needs) behind HTTP Basic auth. A demo app ships at /opt/streamlit/app.py; replace it with your own Python app, then run: sudo systemctl restart streamlit.service. Install extra Python packages into the bundled virtual environment with: sudo /opt/streamlit/venv/bin/pip install <package>. The application directory, including the virtual environment, lives on a dedicated data disk mounted at /opt/streamlit.
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Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
AWS infrastructure support
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