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() {
115 return this.ForegroundColor;
116 }
117 get ForegroundColor() {
118 return getCssColor("--text", "#F5F5F5");
119 }
120 get Background() {
121 return getCssColor("--bg-chart", this.SciChartJsTheme.sciChartBackground);
122 }
123
124 // Series colors
125 VividSkyBlue = "#50C7E0";
126 VividPink = "#EC0F6C";
127 VividTeal = "#30BC9A";
128 VividOrange = "#F48420";
129 VividBlue = "#364BA0";
130 VividPurple = "#882B91";
131 VividGreen = "#67BDAF";
132 VividRed = "#C52E60";
133
134 DarkIndigo = "#14233C";
135 Indigo = "#264B93";
136
137 MutedSkyBlue = "#83D2F5";
138 MutedPink = "#DF69A8";
139 MutedTeal = "#7BCAAB";
140 MutedOrange = "#E7C565";
141 MutedBlue = "#537ABD";
142 MutedPurple = "#A16DAE";
143 MutedRed = "#DC7969";
144
145 PaleSkyBlue = "#E4F5FC";
146 PalePink = "#EEB3D2";
147 PaleTeal = "#B9E0D4";
148 PaleOrange = "#F1CFB5";
149 PaleBlue = "#B5BEDF";
150 PalePurple = "#CFB4D5";
151}
152
153export const appTheme = new SciChart2022AppTheme();
154This 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.