Demonstrates how to use the Builder Api to create a Chart from JSON using SciChart.js. Adjust the JSON in the window below and the chart will re-build. Choose from pre-selected defaults to learn more about the Builder API.
drawExample.ts
index.tsx
1import { SciChartSurface, chartBuilder, TWebAssemblyChart } from "scichart";
2
3export const drawExample = async (
4 divElementId: string | HTMLDivElement,
5 json: string,
6 setErrors: (error: any) => void
7) => {
8 try {
9 // Build the SciChartSurface from Json passed in
10 const { sciChartSurface, wasmContext } = await chartBuilder.build2DChart(divElementId, json);
11
12 return { sciChartSurface, wasmContext };
13 } catch (error) {
14 const msg = (error as any).message;
15 setErrors(msg);
16 return { sciChartSurface: undefined, wasmContext: undefined };
17 }
18};
19
20export const defaultJsonDefinition = `{
21 "surface": { "theme": { "type": "Navy" }},
22 "series": { "type": "SplineLineSeries",
23 "options": { "stroke": "red" },
24 "xyData": { "xValues": [1,3,4,7,9], "yValues": [10,6,7,2,16] }
25 },
26 "yAxes": { "type": "NumericAxis", "options": { "visibleRange": {"min": 0, "max": 20} } },
27 "annotations": [{
28 "type": "SVGTextAnnotation", "options": { "text": "Builder API Demo", "x1": 0.5, "y1": 0.5, "opacity": 0.33,
29 "yCoordShift": -26, "xCoordinateMode": "Relative", "yCoordinateMode": "Relative",
30 "horizontalAnchorPoint": "Center", "verticalAnchorPoint": "Center",
31 "fontSize": 36, "fontWeight": "Bold"
32 }
33 },
34 {
35 "type": "SVGTextAnnotation", "options": { "text": "Create SciChart charts from JSON", "x1": 0.5, "y1": 0.5, "opacity": 0.33,
36 "yCoordShift": 26, "xCoordinateMode": "Relative", "yCoordinateMode": "Relative",
37 "horizontalAnchorPoint": "Center", "verticalAnchorPoint": "Center",
38 "fontSize": 24, "fontWeight": "Bold"
39 }
40 }]
41}`;
42
43export const detailedJsonDefinition = `{
44 "surface": {
45 "theme": {
46 "type": "Navy",
47 "axisTitleColor": "#1d4e8f"
48 }
49 },
50 "xAxes": [{
51 "type": "CategoryAxis",
52 "options": {
53 "axisTitle": "X Axis Title",
54 "labelProvider": {
55 "type": "Text",
56 "options": {
57 "labels": { "1": "one", "2": "two", "3": "three", "4": "four", "5": "five" }
58 }
59 }
60 }
61 }
62 ],
63 "yAxes": [{
64 "type": "NumericAxis",
65 "options": {
66 "axisAlignment": "Left",
67 "axisTitle": "Left Axis",
68 "id": "y1",
69 "visibleRange": { "min": 0, "max": 20 },
70 "zoomExtentsToInitialRange": true
71 }
72 }, {
73 "type": "NumericAxis",
74 "options": {
75 "axisAlignment": "Right",
76 "axisTitle": "Right Axis",
77 "id": "y2",
78 "visibleRange": { "min": 0, "max": 800 },
79 "zoomExtentsToInitialRange": true
80 }
81 }
82 ],
83 "series": [{
84 "type": "SplineMountainSeries",
85 "options": {
86 "yAxisId": "y1",
87 "stroke": "#1d4e8f",
88 "fillLinearGradient": {
89 "gradientStops": [{
90 "color": "rgba(161, 233, 255, 1)",
91 "offset": 0.5
92 }, {
93 "color": "rgba(0, 55, 117, 0.3)",
94 "offset": 1
95 }
96 ],
97 "startPoint": { "x": 0, "y": 0 },
98 "endPoint": {"x": 0, "y": 1 }
99 }
100 },
101 "xyData": {
102 "xValues": [1, 2, 3, 4, 5],
103 "yValues": [8, 6, 7, 2, 16]
104 }
105 }, {
106 "type": "BubbleSeries",
107 "options": {
108 "pointMarker": {
109 "type": "Ellipse",
110 "options": {
111 "fill": "#FFA24399",
112 "strokeThickness": 0,
113 "height": 100,
114 "width": 100
115 }
116 },
117 "yAxisId": "y2"
118 },
119 "xyzData": {
120 "xValues": [1, 2, 3, 4, 5],
121 "yValues": [180, 350, 490, 720, 530],
122 "zValues": [20, 40, 20, 30, 35]
123 }
124 }
125 ],
126 "modifiers": [
127 { "type": "Rollover", "options": { "yAxisId": "y1" } },
128 { "type": "MouseWheelZoom" },
129 { "type": "ZoomExtents" }
130 ],
131 "annotations": [{
132 "type": "SVGTextAnnotation",
133 "options": {
134 "y1": 10,
135 "text": "Annotation"
136 }
137 }
138 ]
139 }`;
140
141const spiralX = [];
142const spiralY = [];
143for (let i = 0; i < 20; i += 0.2) {
144 spiralX.push(Math.sin(i) + Math.cos(i / 20));
145 spiralY.push(Math.cos(i) - Math.sin(i / 20));
146}
147export const centralLayoutJsonDefinition = `{
148 "surface": { "layoutManager": { "type": "CentralAxes" }, "theme": { "type": "Navy" }},
149 "series": {
150 "type": "ScatterSeries",
151 "options": { "pointMarker": { "type": "Ellipse", "options": { "fill": "white" } } },
152 "xyData": { "dataIsSortedInX": false, "xValues": [${spiralX}], "yValues": [${spiralY}] }
153 },
154 "yAxes": {
155 "type": "NumericAxis",
156 "options": { "labelPrecision": 1, "axisBorder": { "borderRight": 1, "color": "white" } }
157 },
158 "xAxes": {
159 "type": "NumericAxis",
160 "options": { "labelPrecision": 1, "axisBorder": { "borderTop": 1, "color": "white" } }
161 },
162 "modifiers": [
163 { "type": "MouseWheelZoom" },
164 { "type": "ZoomExtents" },
165 { "type": "Cursor" },
166 { "type": "ZoomPan" }
167 ]
168 }`;
169This example demonstrates how to create dynamic charts from JSON configurations within an Angular application using SciChart.js. It leverages the SciChart.js Builder API to generate a variety of chart types by parsing JSON definitions, allowing users to update the chart in real time.
The chart is built by asynchronously initializing the SciChartSurface using the Builder API method build2DChart, which parses provided JSON configurations to construct charts with multiple series, axes, and annotations. The implementation uses async/await to handle WebAssembly initialization following common Angular asynchronous initialization practices as described in Angular Async/Await: How To Use It. Robust error handling is incorporated to capture and display any issues during chart construction, echoing techniques found in Global Error Handling in Angular.
The example offers real-time update capabilities by allowing chart configurations to be dynamically modified. It supports a range of chart types including simple spline line charts, detailed dual-axis charts, and scatter charts with central axes. Advanced visual customizations such as gradient fills, custom annotations, and dual y-axis configurations are defined through JSON, underscoring the flexibility of the Builder API and aligning with insights from the Advanced JavaScript Chart and Graph Library.
Angular integration is further enhanced by using Angular Material components to provide an intuitive interface for updating chart configurations. The approach promotes best practices in dynamic chart configuration, component encapsulation, and efficient change detection strategies critical for high-performance applications. Developers seeking additional guidance may find it helpful to review the Angular Column Chart Demo and the Performance Optimisation of JavaScript Applications & Charts for further insights.
Overall, this example serves as a practical guide for integrating JSON-driven charts in Angular using the SciChart.js Builder API, with a focus on asynchronous initialization, error handling, and dynamic UI controls.

Demonstrates how to use the Builder Api to create a simple chart using a definition object. The builder api is designed to make it easier to discover the types and options available in SciChart JS.

Demonstrates how to use the Builder Api to configure axes, series, annotations and modifiers using a definition object. The builder api is designed to make it easier to discover the types and options available in SciChart JS.

Demonstrates how to use the Builder Api to create Reusable Chart Templates.Data can be easily integrated into a definition and shared between series

Demonstrates how to make a custom type such as a PaletteProvider available for use with the Builder Api.You can call methods within the builder api to get references to the objects being built, so you can update them later.