There has been a team here in IBM working on EclairJS for about a year now. Unfortunately from the team's perspective, the project has not gained traction and so they are going to discontinue work on it. The eclairjs.org domain name will continue to exist for a while longer although there will a few other changes such as shuttering this (largely unused) Slack channel. If you are interested in taking a more active role in EclairJS, please post your interest on the EclairJS Google channel , or you can contact the IBM team at eclairjs at us dot ibm dot com.
Welcome to EclairJS
Web applications are looking to incorporate increasingly sophisticated analytics and more types of data. The Apache Spark engine is a fast and general purpose engine for analytics and large-scale data processing which web application runtimes like Node.js can take advantage of using EclairJS.
EclairJS Client & Server
The project maintains an issue list for tracking bugs and monitoring the progress of requested features.
Note that the EclairJS project used to be represented through two separate projects: EclairJS-Node and EclairJS-Nashorn. The EclairJS project has absorbed these former projects as EclairJS Client and EclairJS Server respectively. Going forward and with EclairJS's support for Apache Spark version 2.0, all work will now take place under EclairJS although the older repositories will remain for a while: EclairJS-Node, EclairJS-Nashorn.
Want to find out more? Visit the EclairJS project on GitHub where you will find examples and more documentation or check out some of our recent presentations:
- Putting a Spark in Web Apps, Apache Big Data Europe, 11-14-16
- dW Open Webinar: EclairJS. 11-09-16
- BayNode Meetup, 11-01-16
- Running Apache Spark Applications With Node.js on IBM Bluemix
- Spark Summit presentation, 06-07-16
- Spark.tc blog, part 1
- Big Data +, Cambridge Meetup, 03-30-16
- Apache Spark, Raleigh Meetup, 02-09-16