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OpenDIAKiosk: A Streamlit app for Information and Tools on All Things DIA

This repository is based on the streamlit-template and provides a Streamlit web app for interactive teaching of Data-Independent Acquisition (DIA) concepts as well as practical tools used in DIA analysis.

Features

• Workspaces for user data with unique shareable IDs
• Persistent parameters and input files within a workspace
• local and online mode
• Captcha control
• Packaged executables for Windows
• framework for workflows with OpenMS TOPP tools
• Deployment with docker-compose

🔗 Try the Online Demo

Explore the hosted version here: 👉 Live App

💻 Run Locally

To run the app locally:

1. Clone the repository

   git clone git@github.com:OpenMS/OpenDIAKiosk.git
   cd streamlit-template

2. Install dependencies

   Make sure you can run pip commands.

   Install all dependencies with:

   pip install -r requirements.txt

3. Launch the app

   streamlit run app.py

⚠️ Note: The local version offers limited functionality. Features that depend on OpenMS TOPP tools are only available out of the box in the Docker setup. For the local version OpenMS Command Line Tools must be installed separately.

🐳 Build with Docker

This repository contains two Dockerfiles.

1. Dockerfile: This Dockerfile builds all dependencies for the app including Python packages and the OpenMS TOPP tools. Recommended for more complex workflows where you want to use the OpenMS TOPP tools for instance with the TOPP Workflow Framework.

2. Dockerfile_simple: This Dockerfile builds only the Python packages. Recommended for simple apps using pyOpenMS only.

3. Install Docker

   Install Docker from the official Docker installation guide

   Click to expand

   # Remove older Docker versions (if any)
   for pkg in docker.io docker-doc docker-compose docker-compose-v2 podman-docker containerd runc; do sudo apt-get remove -y $pkg; done

4. Test Docker

   Verify that Docker is working.

   docker run hello-world

   When running this command, you should see a hello world message from Docker.

5. Clone the repository

   git clone git@github.com:OpenMS/OpenDIAKiosk.git
   cd streamlit-template

6. Specify GitHub token (to download Windows executables).

   Create a temporary .env file with your Github token.

   It should contain only one line: GITHUB_TOKEN=<your-github-token>

   ℹ️ Note: This step is not strictly required, but skipping it will remove the option to download executables from the WebApp.

7. Build & Launch the App

   To build and start the containers. From the project root directory:

   docker-compose up -d --build

   At the end, you should see this:

   [+] Running 2/2
    ✔ openms-streamlit-template            Built      
    ✔ Container openms-streamlit-template  Started  
   

   To make sure server started successfully, run docker compose ps. You should see Up status:

   CONTAINER ID   IMAGE                       COMMAND                  CREATED         STATUS                 PORTS                                           NAMES
   4abe0603e521   openms_streamlit_template   "/app/entrypoint.sh …"   7 minutes ago   Up 7 minutes           0.0.0.0:8501->8501/tcp, :::8501->8501/tcp       openms-streamlit-template
   

   To map the port to default streamlit port 8501 and launch.

   docker run -p 8505:8501 openms_streamlit_template
   

Documentation

Documentation for users and developers is included as pages in this template app, indicated by the 📖 icon.

Citation

Please cite: Müller, T. D., Siraj, A., et al. OpenMS WebApps: Building User-Friendly Solutions for MS Analysis. Journal of Proteome Research (2025). https://doi.org/10.1021/acs.jproteome.4c00872

References

• Pfeuffer, J., Bielow, C., Wein, S. et al. OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data. Nat Methods 21, 365–367 (2024). https://doi.org/10.1038/s41592-024-02197-7

• Röst HL, Schmitt U, Aebersold R, Malmström L. pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library. Proteomics. 2014 Jan;14(1):74-7. https://doi.org/10.1002/pmic.201300246. PMID: 24420968.