https://github.com/openfun/2022-esupdays-34
:books: Ralph, the ultimate toolbox for your learning analytics
https://github.com/openfun/2022-esupdays-34
cli etl learning-analytics lrs python xapi
Last synced: 3 months ago
JSON representation
:books: Ralph, the ultimate toolbox for your learning analytics
- Host: GitHub
- URL: https://github.com/openfun/2022-esupdays-34
- Owner: openfun
- License: mit
- Created: 2022-09-26T20:59:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-09-27T12:10:34.000Z (over 2 years ago)
- Last Synced: 2025-01-13T12:48:45.371Z (5 months ago)
- Topics: cli, etl, learning-analytics, lrs, python, xapi
- Language: CSS
- Homepage: https://openfun.github.io/2022-ESupDays-34/
- Size: 19.5 MB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Ralph, the ultimate toolbox for your learning analytics
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.
## Getting started
Install dependencies:
```
$ yarn install
```
Run the development server:
```
$ yarn run slidev
```
Visit: http://localhost:3030
Learn more about Slidev on [documentations](https://sli.dev/).
## License
This work is released under the MIT License (see [LICENSE](./LICENSE.md)).