LightningChart

Name: LightningChart
Address: TehdasKatu 24B, Kuopio, 70620, FI
Telephone: +358408467147

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Kuopio
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 governmental 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.

23/10/2026

Some products start with a customer problem. LightningChart® Python started with a research project.
In the AIMODE project, LightningChart worked alongside Metso, VTT, Aalto University, Quva and Business Finland to boost mineral recovery using machine learning, digital twins and advanced data visualization. The researchers worked in Python, and the data volumes were huge. That gap is what led us to build a high-performance Python charting library.
The team used it to visualize ore blending optimization across hundreds of trials: stacked bars of ore composition, profit tracking lines, and interactive parallel coordinates linking inputs to outputs.
“Charting components proved to be very versatile and customizable to our needs.” Jani Kaartinen, Director, Concept Development, Metso Finland
Read the full case study: https://hubs.la/Q04C6_Yz0

22/10/2026

69 million seismic data points. 8 monitoring stations. Loaded into a browser in 3.2 seconds.
Then zoom from a 24-hour view down to a single 10-second window. Instantly, with no re-fetch and no downsampling.
That’s the case study at the heart of our technical deep-dive on browser visualization at scale. It also explains why it works: storing data in Float32Array instead of object arrays cuts memory 15 to 20x, and moving rendering to the GPU means thousands of shader cores do the work one CPU thread can’t.
If your app handles seismic, sensor, telemetry or financial tick data, this is worth the read.
https://hubs.la/Q04B_Q6W0

21/10/2026

Vibration analysis is one of the most data-intensive visualization challenges in engineering. Continuous waveform logging, FFT spectrum analysis, 2D and 3D spectrograms, oscillograms, orbit plots - all streaming simultaneously, often across dozens of channels at once.
LightningChart® was built for exactly this. The .NET charting library ships with a dedicated SignalTools library - SpectrumCalculator, FFT converters, SignalGenerator, and waveform file reader with playback - alongside XY and 3D spectrogram charts capable of rendering up to billions of data points continuously.
Vibration Research, who builds ObserVIEW sound and vibration analysis software, put it directly: “LightningChart has enabled us to deliver a very flexible charting package which includes multiple y-axes support and a very useful 3D spectrogram.”
Available in .NET and JavaScript. 30-day free trial.
https://hubs.la/Q04BSM1_0

16/10/2026

Python is the language most quants and fintech developers actually work in. Until now, the financial charting options in Python haven’t matched that.
LightningChart® Python Trader is GPU-accelerated, WebGL-rendered financial charting built natively for Python. Candlestick, Heikin-Ashi, Renko, Kagi, Point & Figure, Bar, Line, Mountain charts. 100+ built-in technical indicators. 30+ drawing tools. Real-time data support. Alpha Vantage, Pandas, and CSV integrations included.
For Python developers who work with financial data seriously, not as a secondary feature, but as the primary use case.
7-day free trial: https://hubs.la/Q04Bnj9-0

15/10/2026

LightningChart® has its roots in medical and scientific visualization environments where a missed data point isn’t a UX issue, it’s a clinical risk.
Multi-channel ECG, EEG, EMG monitoring at hundreds to thousands of Hz. Blood pressure, SpO2, flow volume - all streaming simultaneously on a single dashboard. 3D volumetric EEG mesh models. 8 billion+ data points in XY real-time line series.
GPU-accelerated via WebGL and DirectX. Available in JS, .NET, and Python. No downsampling. Every signal rendered at full precision.
Development teams in medical device software and clinical monitoring have used LightningChart to deliver demanding healthcare applications faster — because the rendering layer never becomes the bottleneck.
When the signal is the data, the charting library cannot be the compromise.
https://hubs.la/Q04Bg7pG0

13/10/2026

Sometimes the fastest way to evaluate a .NET charting library is to just see what it can do.
LightningChart® .NET has a full gallery of chart examples across business, finance, science, and engineering categories. 3D surface grids, EEG visualization, stock trading charts, real-time data monitors, Lidar, heatmaps, polar charts, Smith charts, maps, stem plots, error bars, wireframes, and much more.

All GPU-accelerated via DirectX. All available in WPF, WinForms, and UWP. The gallery is the most honest pitch we can make - go look, run the examples, and decide for yourself.
30-day free trial available, no feature restrictions.
👉 https://hubs.la/Q04z-X5B0

09/10/2026

The fastest way to evaluate a JavaScript charting library is to see it running with real data, not a screenshot.
LightningChart® JS has 100+ interactive examples - live in the browser, with full source code visible and editable on the fly. ECG sweeping line dashboards, 3D surface grids, audio spectrograms, racing telemetry dashboards, heatmaps, real-time multi-channel oscilloscopes, geo maps, financial charts, and more.
Every example runs GPU-accelerated at 60 FPS. Every example shows you the code. Any example can be used as a seed project for your own application.
No signup. No download. Just open and explore.
👉 https://hubs.la/Q04zKhDX0

08/10/2026

Python is the language of data science. But most Python charting libraries weren't built for what production data actually looks like.
LightningChart® Python is GPU-accelerated via WebGL - 3,630x faster in real-time tests and 22,155x faster with static data than standard Python libraries. Millions of data points, 60 FPS, fully interactive. Works with NumPy, Pandas, PyQt, PySide, and Jupyter.
Try it free for 7 days and bring your own dataset.
👉 https://hubs.la/Q04zzP8-0

06/10/2026

React chart benchmarks that reflect what actually happens in production, not in a demo with sample data.
At 100,000 data points:
LightningChart® JS: 60 FPS, 45MB memory
react-chartjs-2: 22 FPS, 180MB
Nivo Canvas: 18 FPS, 210MB
Recharts: 5 FPS, 620MB
Victory: 4 FPS, 680MB
At 1 million points, four of those five crash entirely.
The gap is architectural. Recharts and Victory build SVG DOM nodes per data point. Canvas-based renderers are CPU-bound. LightningChart® JS offloads everything to the GPU via WebGL, which is why it stays at 60 FPS where the others stop working.
Full benchmarks, five React anti-patterns with code fixes, and a complete WebGL integration guide: https://hubs.la/Q04zgQBm0

05/10/2026

Defence-grade applications don't have a fallback when the visualization fails.
Electronic warfare systems analyzing RF spectrum in real time. Radar tracking multiple simultaneous targets. Satellite telemetry streaming from orbit. Flight parameter monitoring across microsecond intervals. These are not use cases where approximation is acceptable or lag can be tolerated.
LightningChart® is NATO-registered with NCAGE code A970G. That isn't a marketing credential. It means we meet the compliance requirements for government and defence contracts, and we've been vetted as a supplier within the NATO Codification System.
GPU-accelerated rendering across JS, .NET, and Python. Real-time spectral analysis, radar visualization, LiDAR point clouds, 3D aircraft mesh models, air-gapped environment support. No downsampling. No exceptions.
When the data is mission-critical, the charting library has to be too.
https://hubs.la/Q04z7CXk0

Osoite

TehdasKatu 24B
Kuopio
70620

Puhelin

+358408467147

Verkkosivusto

https://www.lightningchart.com/

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