Front-end application

climepi provides a browser-based front-end application, built using the Panel library. A web application is available at https://idm-oxford.github.io/climate-epidemics/app. A method to run the application locally is contained in the app subpackage:

from climepi import app

app.run_app()

If climepi package is installed within the current conda environment, the application can also be run from the command line:

(<ENV_NAME>) $ python -m climepi.app

The application uses Dask to lazily operate on climate data and parallelize computations. By default, the application will use the thread-based single-machine Dask scheduler. To instead use the distributed Dask scheduler (which may be slower in simple use cases but is more robust if running multiple instances of the application simultaneously), first start a local Dask cluster by running

(<ENV_NAME>) $ python -m climepi.app.cluster

Then, from a separate terminal, initiate the application with the command

(<ENV_NAME>) $ python -m climepi.app --dask-distributed

We welcome requests to improve the application or provide more advanced configuration options (see Contributing).