JarCastingchartjs-plugin-streaming
Chart.js plugin for live streaming data
Version 1.2 or earlier requires Chart.js 2.6.x. Version 1.3 or later requires Chart.js 2.7.x. Version 1.8 requires Chart.js 2.7.x or 2.8.x.
Installation
You can download the latest version of chartjs-plugin-streaming from the GitHub releases.
To install via npm:
npm install chartjs-plugin-streaming --save
To install via bower:
bower install chartjs-plugin-streaming --save
To use CDN:
<script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-streaming@latest/dist/chartjs-plugin-streaming.min.js"></script>
<script src="https://unpkg.com/chartjs-plugin-streaming@latest/dist/chartjs-plugin-streaming.min.js"></script>
Usage
chartjs-plugin-streaming can be used with ES6 modules, plain JavaScript and module loaders.
chartjs-plugin-streaming requires Moment.js and Chart.js. If you are using Chart.js 2.8.0 or later, Moment.js can be replaced with other date libraries and corresponding adapters.
Version 1.8 supports the line and bar chart types with both Number data and Point data (each data point is specified an array of objects containing x and y properties) as well as the bubble and scatter chart types with Point data. In case of Point data, either x or y must be in any of the date formats that the data library accepts (date formats in case of Moment.js), and the corresponding axis must have a 'realtime' scale that has the same options as time scale. Once the realtime scale is specified, the chart will auto-scroll along with that axis. Old data will be automatically deleted after the time specified by the ttl option, or as it disappears off the chart.
Usage in ES6 as module
Nothing else than importing the module should be enough.
import 'chartjs-plugin-streaming';
Tutorial and Samples
You can find a tutorial and samples at nagix.github.io/chartjs-plugin-streaming.
Configuration
The plugin options can be changed at 3 different levels and with the following priority:
- per axis:
options.scales.xAxes[].realtime.*oroptions.scales.yAxes[].realtime.* - per chart:
options.plugins.streaming.* - globally:
Chart.defaults.global.plugins.streaming.*
All available options are listed below. This example shows how each option affects the appearance of a chart.
| Name | Type | Default | Description |
|---|---|---|---|
duration |
number |
10000 |
Duration of the chart in milliseconds (how much time of data it will show). |
ttl |
number |
Duration of the data to be kept in milliseconds. If not set, old data will be automatically deleted as it disappears off the chart. | |
delay |
number |
0 |
Delay added to the chart in milliseconds so that upcoming values are known before lines are plotted. This makes the chart look like a continual stream rather than very jumpy on the right hand side. Specify the maximum expected delay. |
refresh |
number |
1000 |
Refresh interval of data in milliseconds. onRefresh callback function will be called at this interval. |
onRefresh |
function |
null |
Callback function that will be called at a regular interval. The callback takes one argument, a reference to the chart object. You can update your datasets here. The chart will be automatically updated after returning. |
frameRate |
number |
30 |
Frequency at which the chart is drawn on a display (frames per second). This option can be set at chart level but not at axis level. Decrease this value to save CPU power. more... |
pause |
boolean |
false |
If set to true, scrolling stops. Note that onRefresh callback is called even when this is set to true. |
Due to historical reasons, a chart with the 'time' scale will also auto-scroll if this plugin is enabled. If you want to stop scrolling a particular chart, set options.plugins.streaming to false.
Note that the following axis options are ignored for the 'realtime' scale.
boundsdistribution(always'linear')offset(alwaysfalse)ticks.major.enabled(alwaystrue)time.maxtime.min
Data Feed Models
This plugin supports both pull and push based data feed.
Pull Model (Polling Based) - Synchronous
In the pull model, the user code needs to ask for new data and pull it from a data source. To enable this, the plugin provides two options: onRefresh which is the callback function that is called at a regular interval to check the data source and refresh which specifies the interval. In this callback function, you can add data into the existing data array as usual, but you don't need to call the update function as it is called internally.
For example:
{
type: 'line', // 'line', 'bar', 'bubble' and 'scatter' types are supported
data: {
datasets: [{
data: [] // empty at the beginning
}]
},
options: {
scales: {
xAxes: [{
type: 'realtime', // x axis will auto-scroll from right to left
realtime: { // per-axis options
duration: 20000, // data in the past 20000 ms will be displayed
refresh: 1000, // onRefresh callback will be called every 1000 ms
delay: 1000, // delay of 1000 ms, so upcoming values are known before plotting a line
pause: false, // chart is not paused
ttl: undefined, // data will be automatically deleted as it disappears off the chart
// a callback to update datasets
onRefresh: function(chart) {
// query your data source and get the array of {x: timestamp, y: value} objects
var data = getLatestData();
// append the new data array to the existing chart data
Array.prototype.push.apply(chart.data.datasets[0].data, data);
}
}
}]
},
plugins: {
streaming: { // per-chart option
frameRate: 30 // chart is drawn 30 times every second
}
}
}
}
Pull Model (Polling Based) - Asynchronous
If your data source responds to requests asynchronously, you will probably receive the results in a callback function in which you can add data into the existing data array. The update function needs to be called after adding new data.
A problem with calling the update function for stream data feeds is that it can disrupt smooth transition because an update call interrupts the current animation and initiates a new one. To avoid this, this plugin added the preservation config property for the update function. If it is set to true, the current animation won't be interrupted and new data can be added without initiating a new animation.
This model is suitable for data sources such as web servers, Kafka (REST Proxy), Kinesis (Data Streams API) and other time series databases with REST API support including Elasticsearch, OpenTSDB and Graphite.
For example:
{
options: {
scales: {
xAxes: [{
realtime: {
onRefresh: function(chart) {
// request data so that it can be received in a callback function
var xhr = new XMLHttpRequest();
xhr.open('GET', YOUR_DATA_SOURCE_URL);
xhr.onload = function () {
if (xhr.readyState === 4 && xhr.status === 200) {
// assume the response is an array of {x: timestamp, y: value} objects
var data = JSON.parse(xhr.responseText);
// append the new data array to the existing chart data
Array.prototype.push.apply(chart.data.datasets[0].data, data);
// update chart datasets keeping the current animation
chart.update({
preservation: true
});
}
};
xhr.send();
}
}
}]
}
}
}
Push Model (Listening Based)
In the push model, the user code registers a listener that waits for new data, and data can be picked up immediately after it arrives. Usually, data source connector libraries that support the push model provide a listener callback function in which you can add data into the existing data array. onRefresh is unnecessary in this model, but the update function needs to be called after adding new data like asynchronous pull model.
This model is suitable for data sources such as WebSocket, MQTT, Kinesis (Client Library) and other realtime messaging services including Socket.IO, Pusher and Firebase.
Here is an example of a listener function:
// save the chart instance to a variable
var myChart = new Chart(ctx, config);
// your event listener code - assuming the event object has the timestamp and value properties
function onReceive(event) {
// append the new data to the existing chart data
myChart.data.datasets[0].data.push({
x: event.timestamp,
y: event.value
});
// update chart datasets keeping the current animation
myChart.update({
preservation: true
});
}
Support for Zooming and panning
By using together with chartjs-plugin-zoom, zooming and panning of a streaming chart can be done via the mouse or finger gestures. Unlike other scale types, the rangeMin and rangeMax options don't specify time values. Instead, pan.rangeMin and pan.rangeMax limit the range of the delay option value while zoom.rangeMin and zoom.rangeMax limit the range of the duration option value.
options: {
// Assume x axis is the realtime scale
pan: {
enabled: true, // Enable panning
mode: 'x', // Allow panning in the x direction
rangeMin: {
x: null // Min value of the delay option
},
rangeMax: {
x: null // Max value of the delay option
}
},
zoom: {
enabled: true, // Enable zooming
mode: 'x', // Allow zooming in the x direction
rangeMin: {
x: null // Min value of the duration option
},
rangeMax: {
x: null // Max value of the duration option
}
}
}
Note that chartjs-plugin-zoom.js needs to be included before chartjs-plugin-streaming.js.
Lowering CPU Usage
If you are using this plugin on resource constrained devices or drawing multiple charts on a large screen, it might be a good idea to decrease the frame rate to lower CPU usage. The following settings also reduce CPU usage by disabling animation, and improve general page performance.
options: {
animation: {
duration: 0 // general animation time
},
hover: {
animationDuration: 0 // duration of animations when hovering an item
},
responsiveAnimationDuration: 0, // animation duration after a resize
plugins: {
streaming: {
frameRate: 5 // chart is drawn 5 times every second
}
}
}
Building
You first need to install node dependencies (requires Node.js):
npm install
The following commands will then be available from the repository root:
gulp build # build dist files
gulp build --watch # build and watch for changes
gulp lint # perform code linting
gulp package # create an archive with dist files and samples
License
chartjs-plugin-streaming is available under the MIT license.