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Table of Contents
Choose Lightweight Chart Libraries for H5
Connect Real-time Data with WebSockets
Optimize for Mobile and Low-bandwidth Scenarios
Hosting and Deployment Tips
Home Web Front-end H5 Tutorial Building H5 Dashboards with Real-time Charts

Building H5 Dashboards with Real-time Charts

Jul 16, 2025 am 12:02 AM

To build a real-time H5 dashboard, first select a lightweight chart library such as Chart.js, ApexCharts or ECharts Lite; secondly use WebSockets to achieve real-time data connection; then optimize the mobile and low-bandwidth scenario experience; finally deploy and handle edge cases reasonably. 1. Select a lightweight chart library that supports dynamic updates to ensure performance; 2. Use WebSockets to implement real-time data push from the server to the client; 3. Compress data, limit the number of data points and optimize the redraw frequency to suit mobile devices; 4. Static hosting to platforms such as GitHub Pages or Netlify and solve CORS problems.

Building H5 Dashboards with Real-time Charts

If you're looking to build an H5 dashboard with real-time charts, the good news is that it's totally doable without needing a ton of backend infrastructure. The key lies in choosing the right tools and structuring your frontend logic efficiently. Let's dive into how you can make this happen.

Building H5 Dashboards with Real-time Charts

Choose Lightweight Chart Libraries for H5

When building dashboards for H5 (HTML5) pages, especially ones that need to run smoothly on mobile or low-end devices, performance matters. You don't want to overload the browser with heavy charting libraries.

Some solid options include:

Building H5 Dashboards with Real-time Charts
  • Chart.js – Simple, lightweight, support animations and dynamic updates
  • ApexCharts – More feature-rich but still performs well in real-time scenarios
  • ECharts (lite version) – If you're OK with slightly more weight for advanced visuals

These libraries all support updating datasets dynamically, which is essential for real-time display.

A quick tip: Use requestAnimationFrame or throttling when redrawing charts frequently to avoid layout thrashing.

Building H5 Dashboards with Real-time Charts

Connect Real-time Data with WebSockets

Real-time means data needs to flow continuously from your server (or data source) to the client. HTTP polling works, but it's inefficient. A better approach is using WebSockets .

Here's how it generally works:

  • Your H5 page opens a WebSocket connection to a backend service
  • The backend pushes new data points as they come in
  • JavaScript receives these messages and updates the chart accordingly

For example, if you're tracking live temperature readings:

 const ws = new WebSocket('wss://your-data-stream.com');

ws.onmessage = function(event) {
  const data = JSON.parse(event.data);
  chart.data.labels.push(data.timestamp);
  chart.data.datasets[0].data.push(data.temperature);
  chart.update();
};

Make sure to limit the number of data points retained so memory doesn't balloon over time.


Optimize for Mobile and Low-bandwidth Scenarios

H5 dashboards often run in browsers on mobile devices or in environments with unstable connections. Here are a few optimizations to keep things smooth:

  • Trim incoming data to only what's needed (eg, send every 2nd or 5th data point)
  • Throttle chart redraws – not every update needs a full render
  • Compress data payloads using binary formats like MessagePack if possible
  • Fallback gracefully when WebSocket disconnects – retry logic helps

Also, use responsive design principles. Charts should scale down cleanly on smaller screens, and touch interactions should feel natural.


Hosting and Deployment Tips

Once your dashboard is built, deploying it shouldn't be a pain. Since it's an H5 page, you can host it anywhere static files are supported:

  • GitHub Pages
  • Netlify
  • Vercel
  • Even basic Apache/Nginx setups

Just make sure your WebSocket backend is reachable from wherever the dashboard is served. CORS issues are common here, so double-check headers and origins.

And if you're embedding the dashboard in another app or website, consider wrapping it in an iframe for easier integration.


That's about it. Building a real-time H5 dashboard isn't overly complex once you've got the right stack in place. It's mostly about keeping things lean, connecting data streams properly, and handling edge cases like disconnections or slow clients.

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