LineUp App

LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes. This is a demo application using LineUp.js. Details about the LineUp visualization technique can be found at http://lineup.caleydo.org.

The application is deployed at: https://lineup.js.org/app. The develop version using LineUp v4 is deployed at https://lineup.js.org/app_develop. It is a Single Page Application that requires no server installation. No data is transferred to any server but just kept local in your browser local storage using IndexedDB.

Features

• Data Management
  • Choose one of the preloaded datasets
  • Import/Export CSV File
  • Import/Export JSON File
  • Import/Export LineUp JSON Dump
• Session Management save different analyses with a custom session name. A session represents a view on the current dataset along with the currently specified sorting, filtering, grouping, and so on.
• Export the current state to one of
  • https://codepen.io
  • https://jsfiddle.net
  • https://codesandbox.io

Note Uploaded files are stored in your local web browser only.

Supported Browsers

• last 2 Chrome versions (best performance)
• last 2 Edge versions (best performance)
• last 2 Firefox versions
• Firefox Extended Support Release (ESR)

Usage

Hosting

This app is a client only app. Thus, requires no server since all data is stored on the browser only. To host it onself:

1. build the app by following the development environemtn instructions and create a distribution package.
2. copy the content of the /build directory to your target destination
3. host the content through a web server such as NGINX or host it by running a local web server. A list of web servers can be found at https://gist.github.com/willurd/5720255.

Development Environment

Installation

git clone https://github.com/lineupjs/lineup_app.git
cd lineup_app
npm i -g yarn
yarn install
yarn sdks vscode

Common commands

yarn start
yarn clean
yarn compile
yarn test
yarn lint
yarn fix
yarn build
yarn docs

Authors

• Samuel Gratzl (@sgratzl)