LightningChart

LightningChart World’s Fastest Charting Controls for .NET and Web Since 2007 Arction Ltd. The main product of the company is a GPU-accelerated charting library LightningChart.

has manufactured high-performance charting components for the visualization of huge data sets. The company serves demanding developers from such industries as engineering, oil and gas, science, healthcare, finance and trading. The clients of Arction include international enterprises (Intel, Toyota, Halliburton, Lloyds Banking Group, Thermo Fisher Scientific, Audi and other), as well as governmenta

l organizations. It contains fully customizable tools for 2D and 3D data visualization on .Net with hundreds of chart examples. The main advantages of LightningChart – high performance of the components, professional technical support, and full customizability of charts. Also, starting from the Version 8, LightningChart has a very flexible pricing/licensing structure, which allows developers to choose the most cost-efficient solutions for their needs.

Many teams choose amCharts for its visual quality and broad chart library.But as applications scale, three questions ten...
10/06/2026

Many teams choose amCharts for its visual quality and broad chart library.
But as applications scale, three questions tend to come up:

- Do we want a watermark in a commercial product?
- Can our charts handle millions of data points smoothly?
- What if we need real 3D visualization, not just 2D with effects?

A recent comparison of charting libraries for 2026 examined alternatives including LightningChart JS, Apache ECharts, ApexCharts, Highcharts, Chart.js, and D3.js. The analysis highlighted key differences in rendering technology, licensing models, dataset scalability, and 3D capabilities.

Interesting takeaways:
• SVG-based libraries often face challenges as datasets grow larger.
• Open-source options like Apache ECharts and Chart.js remain strong choices for many dashboard use cases.
• GPU/WebGL rendering is becoming increasingly important for real-time and high-density visualizations.
• Native 3D support remains a differentiator for engineering, scientific, and industrial applications.

As data volumes continue to grow, the conversation is shifting from “Which charts look best?” to “Which charts still perform when the data gets serious?”

https://hubs.la/Q04kMzkh0
What charting library are you using today, and why?

There’s a reason developers building the most demanding JavaScript applications end up at LightningChart® JS.When Chart....
08/06/2026

There’s a reason developers building the most demanding JavaScript applications end up at LightningChart® JS.

When Chart.js slows down, when Plotly hits its bundle limit, when ECharts starts dropping frames, the underlying issue is always the same: CPU-bound rendering was never built for serious data.

LightningChart® JS is WebGL and GPU all the way down. The result:

✅ Hundreds of millions of data points without downsampling
✅ 60 FPS sustained on live streaming data
✅ 100+ chart types - 2D, 3D, financial, engineering, scientific
✅ Full TypeScript support
✅ React, Angular, Vue, vanilla JS
✅ Free non-commercial license
✅ 30-day commercial trial

Used in fintech, defence, medical research, industrial automation, and scientific computing, wherever the data is too fast or too large for standard libraries.

https://hubs.la/Q04ks3Pv0

Plotly.js is a popular choice, especially for teams crossing between Python and JavaScript. But it comes with real trade...
05/06/2026

Plotly.js is a popular choice, especially for teams crossing between Python and JavaScript. But it comes with real trade-offs developers discover once the data gets serious.

3.6MB bundle size (minified). SVG/Canvas rendering. Performance that starts breaking down past ~500,000 data points. And a free tier that requires an attribution link on every chart.

We put together an honest breakdown of the 7 best Plotly.js alternatives in 2026, covering libraries across the full spectrum from free open-source to high-performance commercial, with clear guidance on when each one makes sense.

Where does LightningChart® JS fit? When performance, 3D chart types, or real-time data are non-negotiable, and you need the same GPU-accelerated engine across both Python and JavaScript.

Worth a read if you’re evaluating JS charting options in 2026.

https://hubs.la/Q04kfd-10

19+ years. One mission: make data visualization fast enough to keep up with the data.LightningChart® is a family of GPU-...
03/06/2026

19+ years. One mission: make data visualization fast enough to keep up with the data.

LightningChart® is a family of GPU-accelerated charting libraries for JS, .NET, and Python, built for applications where standard libraries stop working.

10M points in 0.29 seconds. 60 FPS with live streaming. No downsampling. Ever.

Trusted by Fortune 500 companies and 10,000+ developers worldwide, across engineering, finance, science, defence, and industrial automation.

If your data is fast, large, or mission-critical, this is where you start.

https://hubs.la/Q04jVmN60

Choosing the right JavaScript charting library isn't just about chart types; it's about scalability, performance, develo...
02/06/2026

Choosing the right JavaScript charting library isn't just about chart types; it's about scalability, performance, developer experience, and long-term maintainability.

A recent comparison of leading JavaScript charting libraries reviews solutions including LightningChart JS, Highcharts, Plotly, ZingChart, and AnyChart, evaluating factors such as documentation, rendering technology, performance, framework compatibility, and licensing.

One key takeaway:
Different libraries excel in different scenarios.
📈 Business dashboards may prioritize ease of implementation.
⚡ Scientific, industrial, and real-time applications often require GPU-accelerated rendering and the ability to handle millions of data points.
🔧 Developer tooling, documentation, and framework support can be just as important as raw performance.

Before selecting a charting solution, it's worth evaluating:
• Dataset size and update frequency
• Real-time requirements
• Framework compatibility
• Rendering technology (SVG, Canvas, WebGL)
• Total cost of ownership
A useful read for developers, architects, and product teams building data-intensive applications.
📖 Read the full comparison:
Best JavaScript Charting Libraries For JS Data Visualization https://hubs.la/Q04jJzD40

OxyPlot is a trusted name in .NET charting. MIT-licensed, works across WPF, WinForms, Avalonia, MAUI. If your app is sim...
01/06/2026

OxyPlot is a trusted name in .NET charting. MIT-licensed, works across WPF, WinForms, Avalonia, MAUI. If your app is simple, it gets the job done.

But in 2026, the gap between OxyPlot and GPU-accelerated alternatives has grown significantly. CPU-bound rendering, limited chart variety, sparse documentation, and no commercial support aren’t dealbreakers for a side project. They are for production systems handling real-time data.

LightningChart® .NET is the alternative built for exactly when OxyPlot isn’t enough:

✅ GPU-accelerated DirectX rendering - not CPU/GDI+
✅ 170+ chart types including native 3D - surface, scatter, spectrogram
✅ Billions of data points in real time
✅ Commercial support, comprehensive docs, active development since 2009
✅ 30-day free trial

For engineering, medical, defence, and scientific .NET applications, the right tool is the one that doesn’t become the bottleneck.

https://hubs.la/Q04jwr7D0

Highcharts is a solid library. But in 2026, there are faster, cheaper, and more capable alternatives worth knowing about...
29/05/2026

Highcharts is a solid library. But in 2026, there are faster, cheaper, and more capable alternatives worth knowing about.

We put together a full breakdown of the 7 best Highcharts alternatives, covering JavaScript charting libraries that go further in performance, pricing flexibility, or specialized use cases.

Spoiler: if your app handles real-time data, large datasets, or high-frequency signals, the standard Highcharts architecture will hit a ceiling sooner than you’d expect.

LightningChart® JS is GPU-accelerated via WebGL, 1.5 million× faster in real-time streaming benchmarks, with no downsampling, 100+ chart types, and full TypeScript support.

But the article covers the full picture, not just us. Worth reading if you’re evaluating JS charting libraries in 2026.

https://hubs.la/Q04jlLQp0

LightningChart® JS Trader 4.1 is out,  and this one’s packed.New in 4.1:🟢 3 new technical indicators• Average Daily Rang...
27/05/2026

LightningChart® JS Trader 4.1 is out, and this one’s packed.

New in 4.1:

🟢 3 new technical indicators
• Average Daily Range - measure volatility across sessions
• Choppiness Index - identify trending vs. sideways markets
• Hull Moving Average - smoother, faster-reacting MA; also works to smooth other indicators

🟡 Freeform Line drawing tool
Draw freely on the chart - curves, annotations, freehand analysis. Fully customizable color and width.

🔵 Data padding
Leave configurable empty space between data and chart edges on any side, makes reading near-live values much cleaner.

⚪ Candlestick & Bar auto width
Candles and bars now scale automatically when zooming in, reducing clutter between data points. On by default.

⚪ DateTime–Index conversions
Two new methods - convertDateTimeToIndex() and convertIndexToDateTime() - make it easy to map between timestamps and chart positions programmatically.

JS Trader already delivers 100+ indicators, 8 TA chart types, 33+ drawing tools, and 4,000+ simultaneous real-time charts at 60 FPS. 4.1 makes it sharper.

👉 Try it free: https://hubs.la/Q04h_f_f0
👉 Full release notes: https://hubs.la/Q04h_gQz0

SES - the satellite company operating 70+ satellites across two orbits - chose LightningChart® JS for their satellite te...
26/05/2026

SES - the satellite company operating 70+ satellites across two orbits - chose LightningChart® JS for their satellite telemetry web application.

The requirement: live data at 10Hz, up to 6 million data points per plot, in a browser. LightningChart was the only library that delivered.

“The team decided to select LightningChart due to the outstanding plotting performance and easy integrability.” - Sebastian Pfeifer, Software Engineer, SES S.A.

For telecom developers building network monitoring, signal analysis, or satellite operations platforms, real-time multi-channel visualization at hundreds of channels simultaneously, pre-built TelCo components ready for integration, across JS and .NET.

When the network can’t wait, the chart can’t either.

https://hubs.la/Q04hS_xh0

Python is where most quant and financial data work happens. But the charting options have always been the weak link.Ligh...
22/05/2026

Python is where most quant and financial data work happens. But the charting options have always been the weak link.

LightningChart® Python Trader is GPU-accelerated, WebGL-rendered financial charting built natively for Python - CandleStick, Heikin-Ashi, Renko, Kagi, 100+ indicators, 30+ drawing tools, real-time data support. Connects to Alpha Vantage, Pandas, CSV and more.

For the Python developers who take financial data seriously.

https://hubs.la/Q04hCBLl0

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