https://github.com/autodesk-platform-services/aps-dataviz-fader

Fader application using Data Visualization API
https://github.com/autodesk-platform-services/aps-dataviz-fader

data-visualization iot sample viewer

Last synced: about 1 month ago
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Fader application using Data Visualization API

• Host: GitHub
• URL: https://github.com/autodesk-platform-services/aps-dataviz-fader
• Owner: autodesk-platform-services
• License: mit
• Created: 2023-11-29T10:13:11.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-19T07:34:29.000Z (5 months ago)
• Last Synced: 2024-08-19T08:55:38.175Z (5 months ago)
• Topics: data-visualization, iot, sample, viewer
• Language: JavaScript
• Homepage: https://aps-dataviz-fader.autodesk.io
• Size: 2.08 MB
• Stars: 1
• Watchers: 7
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# aps-dataviz-fader

Sample [Autodesk APS](https://aps.autodesk.com) application attempting to provide a cleaner,

easier-to-read implementation of fader application using [Data Visualization API](https://aps.autodesk.com/en/docs/dataviz/v1/developers_guide/overview/)

![](https://github.com/autodesk-platform-services/aps-dataviz-fader/blob/main/public/img/aps-dataviz-fader.gif)

## Development

### Prerequisites

- [APS application](https://aps.autodesk.com/en/docs/oauth/v2/tutorials/create-app)

- [Node.js](https://nodejs.org) (we recommend the Long Term Support version)

- Terminal (for example, [Windows Command Prompt](https://en.wikipedia.org/wiki/Cmd.exe)

or [macOS Terminal](https://support.apple.com/guide/terminal/welcome/mac))

### Setup & Run

- Clone this repository

- Install dependencies: `yarn install` or `npm install`

- Setup environment variables:

  - `APS_CLIENT_ID` - your APS application client ID

  - `APS_CLIENT_SECRET` - your APS application client secret

- Run the server: `npm start`

> Refer [this blog](https://aps.autodesk.com/blog/simple-implementation-fader-application-using-data-visualization) for more explanation

> When using [Visual Studio Code](https://code.visualstudio.com),

you can specify the env. variables listed above in a _.env_ file in this

folder, and run & debug the application directly from the editor.

## Written by

Varun Patil [@VarunPatil578](https://twitter.com/VarunPatil578)