v2.0.0
The materials and methods in this repository support work towards developing the S.T.A.R.S healthcare framework (Sharing Tools and Artifacts for Reusable Simulations in healthcare). The code and written materials here demonstrate the application of S.T.A.R.S' version 1 to sharing a simpy
discrete-event simuilation model and associated research artifacts.
- All artifacts in this repository are linked to study researchers via ORCIDs;
- Model code is made available under the MIT license;
- Python dependencies are managed through
conda
;` - The code builds a
streamlit
web application that can be used to run the model (web app); - The materials are deposited and made citatable using Zenodo;
- The models are sharable with other researchers and the NHS without the need to install software.
New in version 2.0.0
- Upgraded to Python 3.10 and upgrade numpy, pandas, matplotlib etc.
- Upgraded to streamlit 1.31.1
- Removed deprecated streamlit functions
Bug fixes
- Fixed
st.setup_page
location inOverview.py
(main landing page) to avoid runtime error.