A desktop-application that can be used to author and preview integrated statistics learning environment (ISLE) lessons before they are deployed online. Other parts of the ISLE environment are:
- the isle-server is the server program responsible for user management and data storage
- the isle-dashboard is the online dashboard used to deploy, organize and monitor ISLE lessons
Current version: v0.76.11.
Download the isle-editor for Windows (.exe)
Download the isle-editor for macOS (.dmg)
Download the isle-editor for Linux (.AppImage) (alternative: .deb)
Developing and running the ISLE Editor has the following prerequisites:
- git: version control
- Node.js: JavaScript runtime (version
>= 14.0
) - node-gyp: Node.js native addon build tool (see link for how to install pre-requisites on the various operating systems)
To acquire the source code, clone the git repository.
$ git clone https://github.com/isle-project/isle-editor
To reduce the significant download time when cloning the repository, which is due to the large commit history of the project, you may limit the clone depth as follows:
$ git clone --depth=<depth> https://github.com/isle-project/isle-editor
where <depth>
refers to the number of commits that should be retrieved (smallest acceptable value is 1
).
To install development dependencies,
$ npm install
To build and package the Electron application,
$ npm run build
The bundled version can be started with
$ npm start
To live-edit the ISLE Editor,
$ npm run dev
Editing source files will result in changes appearing directly without reloading.
To package the editor as a standalone application for the current operating system, run
$ npm run package
To bundle for all operating systems, run
$ npm run package-all
The ISLE editor uses Jest for unit tests. To run the tests, execute the following command in the top-level application directory:
$ npm test
To only run the tests for a single component or function, use
$ npm run test -- -t "name-of-spec"
See LICENSE.
The following icons are used under a Creative Commons CCBY license.
- "Confused" by Greg Pabst
- "Lightbulb" by Jeremy J Bristol
- "Microphone" by Aleksandr Vector
- "Positive Feedback Loop" by Richard Slater
- "bar chart" by Barracuda
- "Scatterplot" by JeraOcean
- "K-Means" by Knut M. Synstad from the Noun Project
- "SVM", "k nearest Neighbours", "Classification tree graph", "Naive Bayes", "Random Forest", "Neural Networks" by sachin modgekar from the Noun Project
- "logistic regressions" by Christina Barysheva from the Noun Project
- "Lasso" by Sam Neckles from the Noun Project
- "net" by Lisa Oregioni from the Noun Project
- "detail roof shed ridge" by kloeg architecture from the Noun Project
- "linear regression" by Knut M. Synstad from the Noun Project
- "dimension" by Andreav from the Noun Project
- "bag" by Andrejs Kirma from the Noun Project
- "boost" by Yo! Baba from the Noun Project