Demonstrates handling realtime big data with different chart types using SciChart.js, High Performance JavaScript Charts
index.tsx
containerSizeHooks.ts
theme.ts
after-all-charts-init.ts
chart-configurations.ts
chart-types.ts
data-generation.ts
GridLayoutModifier.ts
main-chart-config.ts
ModifierGroup.ts
Overview.tsx
page-statistics-chart-config.ts
region-statistic-charts.ts
server-load-chart-config.ts
ThresholdSlider.tsx
VisibleRangeSynchronizationManager.ts
1import { IThemeProvider, SciChartJsNavyTheme } from "scichart";
2
3const getCssColor = (cssVar: string, fallback: string): string => {
4 if (typeof document === "undefined") {
5 return fallback;
6 }
7 const cssValue = getComputedStyle(document.documentElement).getPropertyValue(cssVar).trim();
8 return cssValue || fallback;
9};
10
11type TRgbColor = { r: number; g: number; b: number };
12
13const parseCssColorToRgb = (color: string): TRgbColor | undefined => {
14 const trimmed = color.trim();
15
16 if (trimmed.startsWith("#")) {
17 let hex = trimmed.slice(1);
18 if (hex.length === 3 || hex.length === 4) {
19 hex = hex
20 .slice(0, 3)
21 .split("")
22 .map((channel) => channel + channel)
23 .join("");
24 } else if (hex.length === 6 || hex.length === 8) {
25 hex = hex.slice(0, 6);
26 } else {
27 return undefined;
28 }
29
30 if (!/^[0-9a-fA-F]{6}$/.test(hex)) {
31 return undefined;
32 }
33
34 return {
35 r: Number.parseInt(hex.slice(0, 2), 16),
36 g: Number.parseInt(hex.slice(2, 4), 16),
37 b: Number.parseInt(hex.slice(4, 6), 16),
38 };
39 }
40
41 const rgbMatch = trimmed.match(/^rgba?\((.+)\)$/i);
42 if (!rgbMatch) {
43 return undefined;
44 }
45
46 const channels = rgbMatch[1]
47 .split(",")
48 .slice(0, 3)
49 .map((channel) => Number.parseFloat(channel.trim()));
50
51 if (channels.length !== 3 || channels.some((channel) => !Number.isFinite(channel))) {
52 return undefined;
53 }
54
55 const clamp = (value: number) => Math.max(0, Math.min(255, value));
56
57 return {
58 r: clamp(channels[0]),
59 g: clamp(channels[1]),
60 b: clamp(channels[2]),
61 };
62};
63
64const getPerceivedBrightness = (color: string): number | undefined => {
65 const rgb = parseCssColorToRgb(color);
66 if (!rgb) return undefined;
67
68 // WCAG-adjacent perceptual weighting for quick dark/light detection.
69 return (rgb.r * 299 + rgb.g * 587 + rgb.b * 114) / 1000;
70};
71
72export interface AppThemeBase {
73 SciChartJsTheme: IThemeProvider;
74
75 // general colors
76 isDark: boolean;
77 ForegroundColor: string;
78 Background: string;
79
80 // Series colors
81 VividSkyBlue: string;
82 VividPink: string;
83 VividTeal: string;
84 VividOrange: string;
85 VividBlue: string;
86 VividPurple: string;
87 VividGreen: string;
88 VividRed: string;
89
90 MutedSkyBlue: string;
91 MutedPink: string;
92 MutedTeal: string;
93 MutedOrange: string;
94 MutedBlue: string;
95 MutedPurple: string;
96 MutedRed: string;
97
98 PaleSkyBlue: string;
99 PalePink: string;
100 PaleTeal: string;
101 PaleOrange: string;
102 PaleBlue: string;
103 PalePurple: string;
104}
105
106export class SciChart2022AppTheme implements AppThemeBase {
107 SciChartJsTheme = new SciChartJsNavyTheme();
108
109 // Dynamic colors
110 get isDark() {
111 const brightness = getPerceivedBrightness(this.Background);
112 return brightness === undefined || brightness < 128;
113 }
114 get TextColor() { return this.ForegroundColor; }
115 get ForegroundColor() {
116 return getCssColor("--text", "#F5F5F5");
117 }
118 get Background() {
119 return getCssColor("--bg-chart", this.SciChartJsTheme.sciChartBackground);
120 }
121
122 // Series colors
123 VividSkyBlue = "#50C7E0";
124 VividPink = "#EC0F6C";
125 VividTeal = "#30BC9A";
126 VividOrange = "#F48420";
127 VividBlue = "#364BA0";
128 VividPurple = "#882B91";
129 VividGreen = "#67BDAF";
130 VividRed = "#C52E60";
131
132 DarkIndigo = "#14233C";
133 Indigo = "#264B93";
134
135 MutedSkyBlue = "#83D2F5";
136 MutedPink = "#DF69A8";
137 MutedTeal = "#7BCAAB";
138 MutedOrange = "#E7C565";
139 MutedBlue = "#537ABD";
140 MutedPurple = "#A16DAE";
141 MutedRed = "#DC7969";
142
143 PaleSkyBlue = "#E4F5FC";
144 PalePink = "#EEB3D2";
145 PaleTeal = "#B9E0D4";
146 PaleOrange = "#F1CFB5";
147 PaleBlue = "#B5BEDF";
148 PalePurple = "#CFB4D5";
149}
150
151export const appTheme = new SciChart2022AppTheme();
152This example demonstrates a comprehensive server traffic dashboard implemented using SciChart.js within an Angular framework. It showcases real-time data updates across multiple chart types including a main chart, URL statistics, server load, and region statistics, offering interactive exploration and high performance visualization capabilities.
The dashboard is built by asynchronously initializing several SciChart surfaces using ScichartAngularComponent from scichart-angular. Each chart is configured via dedicated Angular services which manage state updates and inter-chart communication. The implementation employs a visible range synchronization manager that ensures the x-axis visible ranges remain consistent across charts as detailed in the Synchronizing Multiple Charts guide. Custom modifiers such as the GridLayoutModifier leverage SciChart.js’ GenericAnimation API to provide smooth grid formation and transition effects, which aligns with best practices for implementing Angular animations.
Key features include real-time data filtering based on server and location selections, dynamic chart updating, and interactive tooltips defined through custom palette providers registered with the chart builder. Advanced interactivity is achieved with custom rollover and cursor modifiers that enhance user engagement. Performance considerations are addressed by optimizing render routines to handle large data volumes, as described in the Performance Optimization Tips.
From an Angular integration perspective, this dashboard illustrates effective state management and component communication techniques, crucial for real-time data visualization. It adopts a responsive grid layout rendered through Angular, ensuring that charts resize and update seamlessly. Developers are encouraged to review Angular real-time data visualization and component interaction guidance on managing chart thresholds and synchronization, aligning with best practices for implementing interactive dashboards in Angular. Additionally, custom theming and tooltip configurations provided via SciChart.js enhance the overall user experience, marking this example as a robust reference for high-performance Angular dashboard development.

This demo showcases the incredible realtime performance of our Angular charts by updating the series with millions of data-points!

This demo showcases the incredible performance of our Angular Chart by loading 500 series with 500 points (250k points) instantly!

This demo showcases the incredible performance of our JavaScript Chart by loading a million points instantly.

This demo showcases the realtime performance of our Angular Chart by animating several series with thousands of data-points at 60 FPS

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Demonstrates how to create Oil and Gas Dashboard

This demo showcases the incredible realtime performance of our JavaScript charts by updating the series with millions of data-points!

This demo showcases the incredible realtime performance of our Angular charts by updating the series with millions of data-points!

Demonstrates a custom modifier which can convert from single chart to grid layout and back.

Demonstrates how to repurpose a Candlestick Series into dragabble, labled, event markers

Population Pyramid of Europe and Africa

Demonstrates how to use the SVG render layer in SciChart.js to maintain smooth cursor interaction on heavy charts with millions of points.