Real-time data monitoring JavaScript Chart

This demo application belongs to the set of examples for LightningChart JS, data visualization library for JavaScript.

LightningChart JS is entirely GPU accelerated and performance optimized charting library for presenting massive amounts of data. It offers an easy way of creating sophisticated and interactive charts and adding them to your website or web application.

The demo can be used as an example or a seed project. Local execution requires the following steps:

• Make sure that relevant version of Node.js is installed

• Open the project folder in a terminal:

    npm install              # fetches dependencies
    npm start                # builds an application and starts the development server
  

• The application is available at http://localhost:8080 in your browser, webpack-dev-server provides hot reload functionality.

Description

Multi-channel real-time data monitoring Line Chart

Lightning-fast Line Chart visualization over multiple channels that progress on the same X Axis

Widely used in all kinds of fields for monitoring live data from many (hundreds or even thousands) of data sources at the same time.

Frames rendered per second (FPS) is recorded live, and displayed on the Chart title. FPS of 40-60 indicates a smooth running performance.

Automatic data cleaning

In infinitely scrolling applications, cleaning old out of view data is extremely crucial; in this example LineSeries.setMaxPointsCount method is used to enable automatic data cleaning. For reference, see also LineSeries.setDataCleaningThreshold.

The setMaxPointsCount method sets the amount of data points, that will always be retained in the series head (latest data). The full conditions for valid data cleaning are:

1. There is a considerably large chunk of data out of view (visible data is not cleaned!).
2. If the chunk is removed, the amount of data that remains is still more than max points count.

In practice, this results in an application where you can even scroll back for some distance and see older data, but if you scroll far enough, you will find that the old data has been cleaned. This allows the application to run forever!

API Links

• XY cartesian chart
• Line series
• Data patterns
• Axis

Support

If you notice an error in the example code, please open an issue on GitHub repository of the entire example.

Official API documentation can be found on LightningChart website.

If the docs and other materials do not solve your problem as well as implementation help is needed, ask on StackOverflow (tagged lightningchart).

If you think you found a bug in the LightningChart JavaScript library, please contact sales@lightningchart.com.

Direct developer email support can be purchased through a Support Plan or by contacting sales@lightningchart.com.

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