Server Traffic Dashboard

Demonstrates handling realtime big data with different chart types using SciChart.js, High Performance JavaScript Charts

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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

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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();
154

Server Traffic Dashboard - React Example

Overview

This React-based example, "Server Traffic Dashboard," demonstrates how to build a complex, interactive dashboard using SciChart.js within a React application. The dashboard brings together multiple charts—including a main time series chart, a page statistics chart, a server load chart, and region-based charts (both column and pie charts)—to provide a comprehensive view of server traffic and performance data.

Technical Implementation

The example is structured around React hooks and <SciChartReact/> components to manage lifecycle events and context. It uses a custom VisibleRangeSynchronizationManager to coordinate zooming and panning across different chart surfaces; see the Synchronizing Multiple Charts documentation for more details. Custom tooltip templates are implemented via option functions registered with the ChartBuilder API, as described in the Complex Options guide. Dynamic styling is achieved through a CustomPaletteProvider that adjusts point markers based on metadata, following the guidelines in the PaletteProvider API. Additionally, a specialized GridLayoutModifier enables the transformation of the server load chart into a grid of sub-charts with smooth animations, which is in line with techniques presented in the SubCharts Worked Example.

Features and Capabilities

Key features include real-time data updates, interactive data filtering, and advanced tooltips that display aggregated statistics (such as average request duration). The dashboard also supports a 100% stacked column view for URL statistics, which aggregates data across different pages as detailed in our Stacked Column Chart resources. Interactive animations and hover effects are implemented using the GenericAnimation framework (Generic Animations), and mouse event synchronization across chart modifiers is managed by a custom ModifierGroup class.

Integration and Best Practices

The implementation demonstrates excellent integration with React by encapsulating individual charts into <SciChartReact/> components and coordinating them through a shared context and a chart group loader. Techniques for real-time updates are implemented to ensure efficient rendering and smooth performance, as recommended in Realtime Updates. Additionally, advanced synchronization of mouse events across multiple charts highlights best practices for interactive dashboards; more details can be found in the Synchronizing ChartModifier Mouse Events article. For further insights into integrating SciChart.js with React, developers are encouraged to review the React Charts with SciChart.js blog post.

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