README.md

ValidReuse Method Explorer

Streamlit app for comparing q10(LRV) evaluation methods on the same editable integer input table:

• Empirical bootstrap
• Bayesian approximation
• Bayesian (PyMC)

Use the local Conda environment

conda activate validreuse

Install dependencies

pip install -r requirements.txt

Recommended:

• Use Python 3.13 for the full app, including PyMC.
• The older validreuse/ Python 3.14 environment is still present, but PyMC is not reliable there.

Run the app

streamlit run app.py

Deploy With Docker

Build the image:

docker build -t validreuse-app .

Run it locally:

docker run --rm -p 8501:8501 validreuse-app

Then open http://localhost:8501.

Deploy On A Server

1. Copy the project to the server.
2. Install Docker.
3. Build the image:

docker build -t validreuse-app .

4. Run the container in the background:

docker run -d --name validreuse -p 8501:8501 --restart unless-stopped validreuse-app

5. Put Nginx or Caddy in front of port 8501 if you want HTTPS and a public domain.

Streamlit Cloud

This app can also be deployed from a GitHub repo on Streamlit Community Cloud with app.py as the entrypoint.

Note:

• PyMC makes deployment heavier than a simple Streamlit app.
• If you want the lightest deployment, we can make the PyMC method optional or disable it in cloud builds.