Develop Interactive ECharts Graphs and Dashboards for Your Website

Graphs on your site lagging? DataZoom hangs the browser at 10,000 points? The weak spot of many libraries is performance with large data volumes. Apache ECharts solves this: lazy rendering, WebGL acceleration, smart scaling. We have built dozens of dashboards for fintech, analytics, and monitoring — and we share our experience. Our team has 5+ years in data visualization and has completed over 30 projects. Certified engineers guarantee performance even with millions of points. Optimizing visualization saves your budget by reducing server load and page load times.

Why Choose ECharts for Visualization?

Unlike D3.js, where each element is drawn manually, ECharts provides ready chart types and a powerful API for customization. Chart.js falls short in performance on large data. ECharts includes built-in optimization: lazy rendering, dataZoom, WebGL. This renders 100,000 points at 60 FPS. According to Apache ECharts documentation, lazy rendering delivers 60 FPS for 100,000 points. For extreme volumes, use server-side aggregation or the echarts-gl extension.

How ECharts Handles Millions of Points

The core mechanism is dataZoom with inside mode. It scales the viewport without redrawing all data. For extreme volumes, use server-side aggregation: pass only the visible range. ECharts supports WebGL via the echarts-gl extension, yielding 60 FPS on 100,000 points. Compare renderers:

Canvas or SVG Rendering: What to Choose?

ECharts defaults to canvas, but you can switch to SVG via opts.renderer. Canvas is faster on large data but loses quality on Retina displays. SVG is ideal for charts with few elements and animation. In our projects, we often combine: canvas for graphs with DataZoom, SVG for static charts.

Typical Problems and Solutions with ECharts

Basic Integration with React

import ReactECharts from 'echarts-for-react';

function RevenueChart({ data }) {
  const option = {
    tooltip: {
      trigger: 'axis',
      formatter: (params) => {
        const p = params[0];
        return `${p.axisValue}<br/>${p.marker}Revenue: <b>${formatCurrency(p.value)}</b>`;
      }
    },
    legend: { data: ['Revenue', 'Forecast'] },
    grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true },
    xAxis: {
      type: 'category',
      boundaryGap: false,
      data: data.map(d => d.date)
    },
    yAxis: {
      type: 'value',
      axisLabel: { formatter: v => `${(v/1000).toFixed(0)}k` }
    },
    series: [
      {
        name: 'Revenue',
        type: 'line',
        smooth: true,
        areaStyle: { opacity: 0.2 },
        data: data.map(d => d.revenue),
        lineStyle: { color: '#3b82f6' }
      },
      {
        name: 'Forecast',
        type: 'line',
        smooth: true,
        lineStyle: { type: 'dashed', color: '#f59e0b' },
        data: data.map(d => d.forecast)
      }
    ]
  };

  return (
    <ReactECharts
      option={option}
      style={{ height: 350 }}
      opts={{ renderer: 'svg' }}
    />
  );
}

Heatmap (Activity Heatmap)

function ActivityHeatmap({ data }) {
  const option = {
    tooltip: { position: 'top' },
    grid: { height: '50%', top: '10%' },
    xAxis: {
      type: 'category',
      data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
      splitArea: { show: true }
    },
    yAxis: {
      type: 'category',
      data: Array.from({ length: 24 }, (_, i) => `${i}:00`),
      splitArea: { show: true }
    },
    visualMap: {
      min: 0, max: 100,
      calculable: true,
      orient: 'horizontal',
      left: 'center',
      bottom: '15%',
      inRange: { color: ['#f0f9ff', '#0369a1'] }
    },
    series: [{
      name: 'Activity',
      type: 'heatmap',
      data: data,
      label: { show: false },
      emphasis: { itemStyle: { shadowBlur: 10 } }
    }]
  };

  return <ReactECharts option={option} style={{ height: 400 }} />;
}

Candlestick (Trading Chart)

function CandlestickChart({ ohlcData }) {
  const option = {
    xAxis: {
      type: 'category',
      data: ohlcData.map(d => d.date)
    },
    yAxis: { scale: true },
    series: [{
      type: 'candlestick',
      data: ohlcData.map(d => [d.open, d.close, d.low, d.high]),
      itemStyle: {
        color: '#22c55e',
        color0: '#ef4444',
        borderColor: '#22c55e',
        borderColor0: '#ef4444'
      }
    }]
  };

  return <ReactECharts option={option} style={{ height: 400 }} />;
}

DataZoom and Dynamic Update

const chartRef = useRef();

const option = {
  dataZoom: [
    {
      type: 'inside',
      start: 0,
      end: 100
    },
    {
      type: 'slider',
      start: 0,
      end: 100
    }
  ],
  // ... rest of option
};

function updateChart(newData) {
  const chart = chartRef.current?.getEchartsInstance();
  if (!chart) return;

  chart.setOption({
    series: [{ data: newData }]
  }, { notMerge: false });
}

Dashboard Development Process

1. Analytics — study data sources, determine chart types, agree on layout.
2. Design — choose renderer, configure DataZoom, design custom visualizations.
3. Implementation — write components in React/TypeScript, integrate with API, add responsiveness.
4. Testing — verify performance on target devices, fix bugs.
5. Deployment — deploy on server, set up caching, train the team.

How to Avoid Common Performance Mistakes

• Ignoring large datasets — do not use more than 10,000 points without aggregation. Apply dataZoom and server-side sampling.
• Wrong renderer — choose SVG for static charts, Canvas for dynamic ones.
• Lack of responsiveness — on mobile devices reduce point count and disable animation.
• Memory leaks — destroy ECharts instances when unmounting components.

Timeline and What's Included

Basic development of 5-7 chart types with DataZoom and tooltip takes 3-5 days. The work includes:

• Source code with comments and documentation
• Integration with your site's API
• Responsive design for mobile devices
• Team training on ECharts
• 30-day warranty for hidden bugs

For complex dashboards with custom visualizations (graphs, sunburst, treemap), timelines are tailored individually. Request a consultation — we'll assess your project within 24 hours and propose the optimal solution. Contact us to discuss details and get a commercial proposal.

Guarantees and Support

After delivering the dashboard, we provide support for 30 days: we fix rendering issues, assist with integrating new data sources, and optimize performance as data volumes change. All components come with JSDoc comments and ECharts configuration documentation. If needed, we train your developers to add new chart types and customize appearance independently. For projects with regular data updates, we offer extended technical support — discussed individually.

Frontend Development with React: From Audit to Production

Bundle grew to 3.1 MB gzip — that's a real figure from a project that came to us for an audit. The cause: moment.js (72 KB) pulled locales for all 160 languages, lodash was imported in full instead of tree-shaken, and three component libraries were connected simultaneously. TTFB was excellent, but TTI on mobile was 14 seconds. Users left, conversion dropped by 40%. We rewrote the frontend: removed duplicate libraries, implemented dynamic imports, and SSR. Result: bundle reduced to 850 KB gzip, TTI to 2.1 seconds, LCP to 1.8 s.

Frontend is not about "drawing prettily". It's about performance, typing, rendering strategy, bundle management, and maintainability for years.

Why is Next.js the Standard Choice for SEO?

React is our primary UI framework for complex interfaces. Next.js is the standard choice for projects with SEO requirements or SSR. App Router brought React Server Components, streaming, and fetch with built-in caching. Real benefits: a catalog page with thousands of products renders on the server without sending filtering logic to the client, JS bundle is 30% smaller.

But App Router is a different way of thinking. "use client" must be placed consciously. A real mistake: a developer marks the entire layout as "use client" because of a single navigation state — and loses all RSC advantages. Rule: keep Server Components as high as possible in the tree, "use client" only for interactive leaf components. ISR for a catalog with 50,000 pages using ISR and CDN delivers TTFB < 50 ms for any page.

How Does TypeScript Prevent Bugs in Production?

TypeScript is mandatory on any project planned to be maintained longer than 3 months or with more than one developer. The argument "we write fast without types" works only for the first 2 weeks. After that, bugs related to undefined values appear every week.

Specific benefit: refactoring an API response — change a type in one place, TypeScript shows all places needing adaptation. Without types, a production bug appears in a week. strict: true in tsconfig.json is mandatory. noImplicitAny, strictNullChecks, strictFunctionTypes. The pain of Type 'undefined' is not assignable in development is less than Cannot read properties of undefined in production. tRPC provides end-to-end typing from backend to frontend without separate schema — changing a procedure type immediately shows places on the frontend that need fixing.

Vue 3 + Nuxt 3 — An Alternative SSR Stack

Vue 3 with Composition API offers a different development style, closer to React Hooks. <script setup> and composables make code more reusable. Nuxt 3 is a framework for Vue with SSR/SSG, similar to Next.js. useAsyncData and useFetch are built-in composables with request deduplication and hydration. Auto-imports are convenient but can confuse during debugging. Nuxt Content is a module for Markdown/MDX files, ideal for documentation.

Hydration mismatch is a specific pain of SSR in Vue and React. Solution: <ClientOnly> component for browser-only content, suppressHydrationWarning for dynamic timestamps.

Performance: Metrics and Tools

Bundle analysis is the starting point. @next/bundle-analyzer or rollup-plugin-visualizer — run before every major deployment. Goal: no page should require > 200 KB JS gzip for first paint.

Dynamic imports for heavy components:

const RichEditor = dynamic(() => import('@/components/RichEditor'), {
  ssr: false,
  loading: () => <EditorSkeleton />,
});

Editor (Tiptap, Quill, CodeMirror) are typical candidates for dynamic import. Without this, they end up in the main bundle. React DevTools Profiler for finding unnecessary re-renders. React.memo, useMemo, useCallback are targeted tools. Premature memoization of everything adds overhead without benefit. Profile first, optimize later.

Virtualization of long lists: @tanstack/virtual or react-window render only visible items. Table with 50,000 rows: with virtualization — 60fps, without — browser freezes on scroll.

State Management: Without Overengineering

For most applications, it's enough to have:

• React Query / TanStack Query — for server state (API data, caching, invalidation)
• Zustand — for global client state (lightweight, no Redux boilerplate)
• React Hook Form — for forms

Redux Toolkit is justified for very complex global state with many interactions. For most tasks, it's overkill. Recoil, Jotai — atomic approaches for independent pieces of state.

How to Choose the Right CSS and Design System?

Tailwind CSS latest version is our standard choice for new projects. Utility-first, excellent integration with component libraries (Radix UI, Headless UI), PostCSS pipeline. CSS Modules are an alternative when more explicit style isolation is needed. Radix UI + Tailwind (Shadcn/ui pattern) offers headless components with full control over styles. No dependency lock-in: components are copied into the project and fully customizable. Storybook is used for documenting the component library.

React DevTools Profiler — the official tool from the React team.

Testing

E2E tests via Playwright — for checkout, authentication, critical forms. Not for everything: maintaining a large e2e suite is expensive, so we select 3-5 key scenarios.

What's Included in the Scope (Deliverables)

Every frontend project we deliver includes:

• Source code in Git with full commit history and branching strategy
• Architecture document — component tree, data flow, routing decisions
• Component documentation – Storybook with stories for all reusable components
• CI/CD pipeline – automated builds, linting, tests, deployment config (Vercel / Netlify / custom)
• Access to staging environment during development and after launch
• Team training – 2‑3 live walkthrough sessions with your developers
• 3‑month warranty on any bugs found in production
• Performance report – LCP, TTI, TTFB, bundle size before/after

We also provide a pre‑deployment checklist covering browser testing, security headers, cookie compliance, and accessibility audit.

Estimates and Scope

Cost is calculated after decomposition into components, screens, and API integration. We use N+1 estimation: add 20% for risks.

What Does a Typical Performance Audit Reveal?

A recent e‑commerce project had LCP of 4.2 seconds and a monthly cloud bill of $3,000. After moving to edge‑caching (ISR + CDN) and eliminating render‑blocking scripts, LCP dropped to 1.1 seconds, and the bill fell to $1,800. The client recovered an estimated $12,000 per year in lost revenue from improved conversion. That's the kind of before‑after we regularly deliver.

Comparing tools: Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. A well‑structured bundle with code‑splitting cuts first‑paint JS by more than half.

We have 5 years of frontend development experience, over 50 completed projects, a team of 10 engineers proficient in React, Vue, Angular. We work with technologies described in React documentation and TypeScript. Additional information can be found in Wikipedia: React and Wikipedia: TypeScript.

What Stack to Choose for Frontend Development with React?

We compare tools by real metrics. Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. Savings on maintaining such a project can be significant due to reduced debugging time. If you need a lightweight SPA with minimal cost, React + Vite is enough. For a content site with SEO, Next.js with ISR gives TTFB below 50 ms even with 50,000 pages.

Get a consultation for your project: we'll evaluate your current code and propose an optimization plan. Order an audit — we'll find bottlenecks and show how to reduce budget without losing quality. Contact us to start the discussion.