https://github.com/ibmstreams/streamsx.visualization
Real-Time Visual Analytics
https://github.com/ibmstreams/streamsx.visualization
ibm-streams meteor nodejs read-dashboards stream-processing visualization
Last synced: 2 months ago
JSON representation
Real-Time Visual Analytics
- Host: GitHub
- URL: https://github.com/ibmstreams/streamsx.visualization
- Owner: IBMStreams
- License: apache-2.0
- Created: 2016-08-05T18:30:25.000Z (over 9 years ago)
- Default Branch: develop
- Last Pushed: 2020-07-10T11:11:34.000Z (over 5 years ago)
- Last Synced: 2025-07-16T03:41:32.579Z (4 months ago)
- Topics: ibm-streams, meteor, nodejs, read-dashboards, stream-processing, visualization
- Language: JavaScript
- Homepage: http://169.44.122.120:3000/#/developer/home
- Size: 16 MB
- Stars: 5
- Watchers: 6
- Forks: 4
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# READ: Real-Time Visual Analytics
> **READ is a developer playground for advanced visual analytics**
> Use READ to rapidly create real-time visualizations, responsive sharable dashboards, REST API dataflows, and new types of visualizations.
## READ Demos
* http://169.44.122.120:3000/#/developer/app/dashboard/designer (READ tour and developer UI)
* http://169.44.119.88:3002/#/app/jetLpRfQ3BCRGiMxe (shared READ dashboards)
## Getting Started
1. Install [Meteor](https://www.meteor.com)
2. Install READ: `git clone https://github.com/IBMStreams/streamsx.visualization.git`
3. Run READ
* `cd streamsx.visualization/READ.develop`
* `meteor npm install`
* `meteor`
4. Visit READ in your browser after you see this message: *=> App running at: http://localhost:3000/*
## Next steps
* Take the 2 minute READ tour: http://169.44.122.120:3000/#/developer/app/dashboard/designer
* Play with the sample app bundled with READ
* Follow the Usage Info which accompanies every dataset and visualization in the sample app
* Follow the tutorial: http://localhost:3000/#/docs/tutorial
* Refer to the [Wiki](https://github.com/IBMStreams/streamsx.visualization/wiki) for more documentation on topics such as
* READ for Streams Users
* Sharing your READ dashboards publicly
* Handling CORS Issues
## Contributing
We encourage you to contribute to READ in a variety of ways.
1. Contribute code or documentation by opening pull requests
2. Submit feature requests or bugs by logging issues
3. Share your READ dashboards and apps publicly and let us know. We will link them from this page