Ralph is an open source project developed by France Université Numérique. It has been designed as a CLI (and a LRS server) to handle data streams with learning analytics in mind.
This python-powered tool has been designed to build data workflows as UNIX
pipelines with the KISS (Keep It Small and Simple) mantra as a credo: each
sub-command achieves a simple task and their combination with other command
line tools (e.g. ag, jq, xargs, ...) performs complex treatments.
During this talk, we will introduce Ralph features and its possible integration in an infrastructure used to collect, transform and store learning traces.
Install dependencies:
$ yarn install
Run the development server:
$ yarn run slidev
Visit: http://localhost:3030
Learn more about Slidev on documentations.
This work is released under the MIT License (see LICENSE).