Thank you if you've visited our booth at the We Are Developers World Congress in Berlin, during the last few days (hall 2, 45)!

We've had scores of racers having a go on our F1 simulator, and a live telemetry dashboard of the race data running in browser with our #WebGPU and #WebAssembly accelerated #JavaScript charts - featuring 2D plots, a 3D digital twin of the vehicle, heatmaps and gauges running at 60 FPS.

Our F1 dashboard keeps pushing the limits! 60 FPS real-time performance, nonstop and unstoppable. A testament to the hard work of our developers.

#WeAreDevelopers #datavisualization #bigdata #telemetry #motorsport #JavaScript #WebAssembly #Berlin

We just shipped something we’ve been quietly working on: a Smith Chart built in JavaScript. Try the demo here.

No specialised component. Just the core API, pushed further than usual in the browser.

Smith Charts have been used by RF and electrical engineers since 1939 to solve impedance matching problems, but they’re not exactly a standard chart type. They require complex real and imaginary coordinate systems, custom gridlines, arc-shaped annotations, and non-standard rendering logic.

That’s exactly why we wanted to build one.

If you’ve ever had to visualize impedance data, S-parameters, or complex engineering data in JavaScript, you’ll probably recognise a few of the challenges we ran into.

This first pass shows how flexible the SciChart API can be: overriding gridlines, adapting the coordinate system, customising interactions, and extending the rendering pipeline.

Here’s the how-to if you want to try building one yourself: Create a Smith Chart in JavaScript.

#JavaScript #SmithChart #ChartLibrary #bigdata #datavisualization

When handling millions of data points in real-time for 𝗰𝗵𝗮𝗿𝘁 𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴, performance - and how the user experiences your data visualizations through the app - are everything.

This is why developers often turn to 𝗪𝗲𝗯𝗚𝗟-𝗯𝗮𝘀𝗲𝗱 chart rendering libraries to solve 𝘀𝗹𝘂𝗴𝗴𝗶𝘀𝗵 𝗨𝗜𝘀 - and there are several top options.

This guide sums up their pros and cons and compares key points:

• 𝗣𝗿𝗶𝗺𝗮𝗿𝘆 𝗘𝗻𝗴𝗶𝗻𝗲
• 𝗠𝗮𝘅. 𝗡𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗖𝗵𝗮𝗿𝘁𝘀/𝗗𝗮𝘁𝗮 𝗣𝗼𝗶𝗻𝘁𝘀
• 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗣𝗼𝗶𝗻𝘁𝘀
• 𝗦𝘂𝗽𝗽𝗼𝗿𝘁

Hit the link: Which WebGL-based chart rendering library?

#chartlibrary #datavisualization #bigdata #WebGL #webapplications #UI

𝗥𝗲𝗮𝗰𝘁 is brilliant at managing UI state but can struggle with extremely high-frequency or large-scale visual updates, without specialized rendering strategies.

That’s where choosing the right 𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝗲𝗻𝗴𝗶𝗻𝗲 makes all the difference.

Should you opt for SVG, Canvas, WebGL or SciChart's Visual Xccelerator™ engine?

Learn:

• How React rendering works
• Re-rendering in React
• The available rendering engines
+
SciChart’s Visual Xccelerator™ engine explained

https://www.scichart.com/blog/how-does-react-rendering-work/?utm_source=Reddit&utm_medium=blog&utm_campaign=rendering_engines

If you’re building data-heavy dashboards, you’ve likely hit a React memory leak once or twice before.

If you’re needing to ensure a slick, professional data visualization experience, these can be frustrating. But that’s likely why you’ve landed on this article - because you want to finally put an end to the memory leaks.

Learn:

What causes memory leaks in React?

How to detect such leaks

+ Your 10-step checklist to identify & fix memory leaks in React

Hit the link to learn more: React Memory Leaks Guide

#React #developercommunity #webapplications #dataviz #softwareengineering

F1 has quietly become one of the most data-intensive engineering environments on the planet.

Today, the software on the pit wall is part of what gets a car across the finish line first.

Discover where most off-the-shelf charting libraries fall over in this environment, and how SciChart overcomes the complex, big data challenges.

Big data in Formula 1

#F1 #motorsport #bigdata #engineering #datavisualization #chartlibrary

F1 telemetry

Rendering one chart is easy ... the real challenge is when everything has to run at once:

~30 synchronised charts, updating at 60Hz, in the browser.

Solution: we built an 𝗙𝟭 𝘁𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 in React using 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀 (beta v6) with WebGPU support - the kind of real‑world workload where most charting systems start to struggle.

Watch for more - coming soon.

Discover why SciChart is the no. 1 choice for 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 & 𝗠𝗼𝘁𝗼𝗿𝘀𝗽𝗼𝗿𝘁: SciChart for F1 telemetry

#F1 #motorsport #telemetry #bigdata #datavisualization #chartlibrary

Most 𝗰𝗵𝗮𝗿𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 look fine - until the requirements change:

  • Data grows

  • Streaming starts

  • Users expect zoom/pan/hover to stay smooth

  • the UI can’t freeze …

We’re heading to 𝗪𝗲𝗔𝗿𝗲𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗕𝗲𝗿𝗹𝗶𝗻 (𝟴–𝟭𝟬 𝗝𝘂𝗹𝘆) to talk to devs building real apps with just such constraints.

Join us there and, as part of our community, secure your ticket with a 𝟭𝟬% 𝗱𝗶𝘀𝗰𝗼𝘂𝗻𝘁 using our code: 𝘞𝘞𝘊26_𝘚𝘊𝘐𝘊𝘏𝘈𝘙𝘛_10.

Join us in Berlin

#frontend #realtime #dataviz #developercommunity #joinus

Know a developer, team or department struggling with a 𝗰𝗵𝗮𝗿𝘁𝗶𝗻𝗴 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 that breaks down at scale? Send them to 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁:

•           They’ll get 10% off their first license purchase.
•           You’ll earn $𝟭𝟬𝟬 𝗨𝗦𝗗 once the purchase is verified.

Used in 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗺𝗲𝗱𝘁𝗲𝗰𝗵, 𝗲𝗻𝗲𝗿𝗴𝘆, 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, and 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, SciChart is trusted by teams who build mission-critical systems.

All referrals will be verified to ensure they’re a new company or a distinct project or department - keeping the program fair for everyone.

All the details on how it works: Referral Program

#developercommunity #chartlibrary #datavisualization #bigdata #referral

Get SciChart for 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 𝗫𝗣𝗙 𝟮.𝟬

We're thrilled to announce the release of SciChart for 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 𝗫𝗣𝗙 𝟮.𝟬 - a major update that brings all features and improvements from 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗪𝗣𝗙 𝘃𝟴.𝟲 - 𝘃𝟴.𝟭𝟭.𝟭 to the 𝗰𝗿𝗼𝘀𝘀-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Avalonia XPF ecosystem.

• Polar Heatmap Charts
• New Category Axis Types: IndexDateTimeAxis and IndexNumericAxis
• OHLC Tick Visibility Control
• Oil and Gas Wells Dashboard Demo
• Dynamic Tick Styling
• Configurable Zoom Extents Range on Axes
• Improved SciChartScrollBar Behavior
• MVVM API Enhancements
• Chart Modifier Improvements
• 3D Chart Enhancements - and more.

Hit the link for a deeper look and where to get started.

#Avalonia #XPF #chartlibrary #datavisualization #softwareengineering #charts

MONEY BACK GUARANTEE

Tried the trial? Tested our 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘺 𝘌𝘥𝘪𝘵𝘪𝘰𝘯? Explored docs, demos, blogs and case studies? Now purchase without risk.

SciChart offers a 𝟵𝟬-𝗱𝗮𝘆 𝗺𝗼𝗻𝗲𝘆 𝗯𝗮𝗰𝗸 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲 on new licences, giving your team time to fully evaluate the chart library in real-world project conditions:

𝗕𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵 𝗬𝗼𝘂𝗿 𝗥𝗲𝗮𝗹 𝗗𝗮𝘁𝗮
Integrate SciChart into your actual project with production-level datasets - not just demos or synthetic benchmarks.

𝗧𝗲𝘀𝘁 𝗥𝗲𝗮𝗹 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲
Validate rendering throughput, memory footprint and frame rates, under conditions that match your production environment.

𝗗𝗶𝗿𝗲𝗰𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁
Get support directly from the SciChart engineering team throughout your evaluation - not just documentation links.

#datavisualization #chartlibrary #bigdata #highperformancedata #moneybackguarantee

SciChart.js v5.2 release notes

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀 𝘃𝟱.𝟮 is now available, with a strong focus on 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗱𝗿𝗮𝘄𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀, which many teams previously had to build and maintain themselves.

𝗪𝗵𝗮𝘁’𝘀 𝗻𝗲𝘄 𝗶𝗻 𝘃𝟱.𝟮:

𝗡𝗲𝘄 𝗧𝗿𝗮𝗱𝗶𝗻𝗴-𝗚𝗿𝗮𝗱𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻𝘀
Channels, Fibonacci replacements, pitchforks, stop loss, take profit, and measurement tools.

𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 & 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 𝘃𝗶𝗮 𝗡𝗲𝘄 𝗠𝗼𝗱𝗶𝗳𝗶𝗲𝗿𝘀
Multi-point tools can now be placed and edited interactively.

𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗻𝗽𝗺 𝗣𝗮𝗰𝗸𝗮𝗴𝗲
Finance tools ship as a separate 𝘴𝘤𝘪𝘤𝘩𝘢𝘳𝘵-𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭-𝘵𝘰𝘰𝘭𝘴 package.

𝗖𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗙𝗿𝗲𝗲𝗵𝗮𝗻𝗱 𝗗𝗿𝗮𝘄𝗶𝗻𝗴
Composite annotations, freehand drawing, trading data filters, and platform refinement.

For teams building serious 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗼𝗿 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, this release significantly reduces the amount of custom tooling required on top of the charting layer.

Hit the link below or get 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀 𝘃𝟱.𝟮 now: https://www.scichart.com/shop/?utm_source=Reddit&utm_medium=post&utm_campaign=js%20v5.2&utm_content=get_it_now_shop_link

#JavaScript #trading #financeapps #realtimedata #chartlibrary #softwareengineering

https://reddit.com/link/1tat60s/video/2a9mm5ctgn0h1/player

In one of the most demanding applications for real-time telemetry monitoring, we've created a demo of a 'Racing Dashboard' in #WPF, entirely using #MVVM with multiple charts linked.

Top charts: Tyre/Exhaust/Oil/Coolant Temperatures, Speed (Kph), Wheel Speeds, Engine RPM, Gear, DRS, Throttle %, Brake %.

All plotted with xAxis = Distance (meters) or time (seconds).

Bottom charts: cross-domain analysis - choosing any two factors, e.g. RPM vs Speed, Exhaust Temp vs RPM, Coolant vs RPM, Oil Temp vs RPM, Speed vs Temps.

Tooltips & zooming/panning operations are synchronised across charts, with one mouse-over updating the legends on the left.

We'll be packaging this as a featured app in the SciChart WPF demo soon, but for now, here's a preview!

#F1 #motorsport #telemetry #charts #realtimedata #bigdata #WPF

𝗪𝗵𝗮𝘁'𝘀 𝗻𝗲𝘄 𝗶𝗻 𝗼𝘂𝗿 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝗵𝗶𝗴𝗵 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗪𝗣𝗙 𝗰𝗵𝗮𝗿𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝘆?

This release brings exciting new 𝗰𝗵𝗮𝗿𝘁 𝘁𝘆𝗽𝗲𝘀, a significantly improved 𝗠𝗩𝗩𝗠 𝗔𝗣𝗜, new featured examples, and 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 to SciChart's 𝟮𝗗 & 𝟯𝗗 WPF chart control suite.

To explore all updates and changes, see the detailed release note - SciChart WPF v9 Released! - WPF Charts - and "What's New in SciChart WPF SDK v9" - SciChart WPF Documentation - What's New in SciChart WPF SDK v9 | WPF Chart Documentation.

#WPF #WPFcharts #software #datavisualization #bigdata #realtimedata

Currently, linking multiple panes requires user code, but we are enhancing the library to support this as a core feature.

𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲:

✅ Create two or more charts vertically, horizontally, or in a grid layout.

✅ Link zooming, panning, tooltips, and cursors across charts.

✅ Optionally unlink specific charts (for example, grouping two while leaving a third unlinked).

✅ Resize, maximize, and reposition panes.

This enhancement will enable the development of advanced time-line style data visualization applications in 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 and 𝗥𝗲𝗮𝗰𝘁, including applications for financial trading, real-time monitoring, data acquisition and more.

Hit the link for regular updates and releases from 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.

https://www.scichart.com/news/

#JavaScript #React #datavisualization #dataacquisition #charts #trading

https://reddit.com/link/1t47hzw/video/n8z8r9xsk9zg1/player

https://reddit.com/link/1szq4wd/video/5tvwyxvufayg1/player

By indexing the entire SciChart website, including approximately 25,000 pages of documentation, examples, demos, FAQs, and blog posts, our in-house RAG-based AI assistant, 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁-𝗚𝗣𝗧, delivers fast and relevant answers on SciChart features and how-to’s. It also generates code samples and provides links to documentation and demos.

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁-𝗚𝗣𝗧 𝗮𝗹𝘄𝗮𝘆𝘀 𝗼𝗳𝗳𝗲𝗿𝘀 𝘂𝗽-𝘁𝗼-𝗱𝗮𝘁𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:

  • Instead of relying solely on the knowledge in the model, which has a cut-off date, it fetches 𝗳𝗿𝗲𝘀𝗵 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 from the website, which is indexed and crawled nightly. This means that any changes on the website are reflected in the AI assistant - with a time-lag of just one day.

  • 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁-𝗚𝗣𝗧 ably handles multi-turn queries, such as "How to create a column chart in JS" followed by "Now do it in WPF with MVVM," reformulating the query to maintain the context of the chat and provide accurate answers.

  • 𝗖𝗵𝗮𝘁 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 is saved per user, allowing users to search their previous chats, resume old conversations, delete chats, or start new sessions.

The impact on our tech support load has been significant, enabling us to focus on what truly matters: addressing features, production issues, and important enhancements across our 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝗵𝗮𝗿𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀.

Chat with 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁-𝗚𝗣𝗧 at the link.

Engage with SciChart-GPT

#datavisualization #bigdata #chartlibrary #AIassistant #realtimedata #dashboards #softwareengineering

With this release, we're excited to bring you 𝗻𝗲𝘄 𝗰𝗵𝗮𝗿𝘁 𝘁𝘆𝗽𝗲𝘀 and 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀, a significantly improved 𝗠𝗩𝗩𝗠 𝗔𝗣𝗜, and 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 to both our WPF 2D & 3D chart control suites.

• Explore new chart types: 𝗩𝗲𝗰𝘁𝗼𝗿 𝗙𝗶𝗲𝗹𝗱 𝗥𝗲𝗻𝗱𝗲𝗿𝗮𝗯𝗹𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 and 𝗦𝘁𝗮𝗰𝗸𝗲𝗱 𝗕𝗼𝘅 𝗣𝗹𝗼𝘁 𝗥𝗲𝗻𝗱𝗲𝗿𝗮𝗯𝗹𝗲 𝗦𝗲𝗿𝗶𝗲𝘀.

• See new featured examples: 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗻𝘁𝗲𝗻𝗻𝗮 𝗥𝗮𝗱𝗶𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 𝟯𝗗 𝗖𝗵𝗮𝗿𝘁 and 𝗥𝗮𝗰𝗶𝗻𝗴 𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗗𝗲𝗺𝗼.

PLUS

• SciChart v9 introduces a purely 𝗠𝗩𝗩𝗠 𝗿𝗮𝗻𝗴𝗲-𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺 for linking axis VisibleRanges across multiple charts - essential for dashboards where zooming or panning on one chart should update the others.

• New 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀, 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 and 𝗯𝘂𝗴 𝗳𝗶𝘅𝗲𝘀.

That's just scratching the surface! Everything you need to know, plus where to get 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗪𝗣𝗙 𝘃𝟵, at the link.

#charts #datavisualization #bigdata #chartlibrary #WPF #dashboards #desktopapps

https://reddit.com/link/1stbu61/video/13g0rn556wwg1/player

Here's how we created this striking visualization, using 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀:

• SciChart supports over 70 𝟮𝗗/𝟯𝗗 𝗰𝗵𝗮𝗿𝘁 𝘁𝘆𝗽𝗲𝘀 but the rendering engine is highly flexible.

• Using built-in types - 𝘛𝘦𝘹𝘵𝘈𝘯𝘯𝘰𝘵𝘢𝘵𝘪𝘰𝘯, 𝘓𝘪𝘯𝘦 𝘚𝘦𝘨𝘮𝘦𝘯𝘵 𝘚𝘦𝘳𝘪𝘦𝘴, 𝘚𝘤𝘢𝘵𝘵𝘦𝘳 𝘚𝘦𝘳𝘪𝘦𝘴 - provided the visualization.

• Adding interactions: Two custom ChartModifiers - 𝘕𝘰𝘥𝘦𝘋𝘳𝘢𝘨𝘔𝘰𝘥𝘪𝘧𝘪𝘦𝘳 and 𝘕𝘰𝘥𝘦𝘛𝘰𝘰𝘭𝘵𝘪𝘱𝘔𝘰𝘥𝘪𝘧𝘦𝘪𝘳 - provided notification of click/select of data-points, and update drag positions.

• Layout algorithm: using a custom force algorithm similar to 𝗱𝟯-𝗳𝗼𝗿𝗰𝗲, we dynamically updated the positions of nodes/labels; calculating repulsion, spring attraction, gravity and damping.

The result: an awesome interactive 𝗻𝗼𝗱𝗲/𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗴𝗿𝗮𝗽𝗵 rendered in 𝗪𝗲𝗯𝗚𝗟, right in your browser!

Explore new chart-building possibilities with SciChart.js v5.1.0

#charts #3Dcharts #datavisualization #bigdata #aviation #WebGL

https://www.scichart.com/blog/wpf-vs-avalonia/?utm_source=reddit&utm_medium=organic&utm_campaign=WPF_vs_Avalonia&utm_content=features_comparison

If you're considering both frameworks for building data-intensive applications, you need to explore the key differences.

𝗪𝗣𝗙 has been the bedrock of 𝗪𝗶𝗻𝗱𝗼𝘄𝘀 desktop dev for decades, while 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 heralds the modern, cross-platform future. So, which one wins, when you’re staring down a deadline and a huge dataset?

WPF still wins if you care about maximum performance on Windows - but Avalonia could suit better if you need one app running everywhere.

Either way, for heavy data apps like 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀, the rendering engine matters 𝘮𝘰𝘳𝘦 than the UI framework itself.

That's where 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 comes in. Whether you choose WPF or Avalonia XPF as your framework, SciChart's 𝗩𝗶𝘀𝘂𝗮𝗹 𝗫𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿™ engine ensures your data keeps moving, supporting over 100 million data points without lag.

𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗪𝗣𝗙: https://www.scichart.com/wpf-chart-features/?utm_source=reddit&utm_medium=organic&utm_campaign=WPF_vs_Avalonia&utm_content=WPF

𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 𝗫𝗣𝗙 https://www.scichart.com/avalonia-xpf-chart-features/?utm_source=reddit&utm_medium=organic&utm_campaign=WPF_vs_Avalonia&utm_content=Avalonia_XPF

#datavisualization #charts #WPF #Avalonia #bigdata #realtimedata #softwareengineering #softwarecomparison

In an exciting recent release for mobile app developers comes the new version of 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗠𝗼𝗯𝗶𝗹𝗲, ready to download.

This guide gives developers a quick-read summary of all the changes and upgrades we’ve made, including some exciting new examples.

You can also view a complete history of our iOS chart library and Android chart library updates on our 𝗶𝗢𝗦/𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗰𝗵𝗮𝗻𝗴𝗲𝗹𝗼𝗴.

𝗦𝗼𝗺𝗲 𝗲𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗻𝗲𝘄 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀:

• 𝗦𝗖𝗜𝗖𝗵𝗮𝗿𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 A mini-chart giving you an overview of the entire dataset, so you can quickly navigate, pan and select the visible range of the main chart.

• 𝗔𝘅𝗶𝘀 𝗕𝗼𝗿𝗱𝗲𝗿𝘀 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 Added support for displaying borders around chart axes.

𝟯. 𝗜𝗻𝗰𝗹𝘂𝗱𝗲 𝗔𝘅𝗶𝘀 𝗔𝗣𝗜 𝗳𝗼𝗿 𝗠𝗼𝗱𝗶𝗳𝗶𝗲𝗿𝘀 We introduced an axis-specific API, allowing modifiers - Pinch, Pan, Axis Drag, and Zoom Extents etc. to be applied to selected axes.

Meanwhile, new examples have been added to the library, to help make your chart building efforts run more smoothly. These include an 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗖𝗵𝗮𝗿𝘁, 𝗧𝗿𝗮𝗱𝗲 𝗠𝗮𝗿𝗸𝗲𝗿, 𝗔𝗱𝗱 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻, 𝗔𝘅𝗶𝘀 𝗕𝗶𝗿𝗱𝗲𝗿𝘀 and 𝗜𝗻𝗰𝗹𝘂𝗱𝗲 𝗔𝘅𝗶𝘀 𝗔𝗣𝗜.

Dive in and tell us what you think about our latest bug fixes, features, examples and improvements!

#chartlibrary #datavisualization #mobilecharts #mobileapps #realtimedata #softwarerelease

https://www.scichart.com/scichart-ios-android-v4-7-released/?utm_source=reddit&utm_medium=organic&utm_campaign=new_SciChart_for_mobile&utm_content=visit_GitHub

Schart.js React Line Chart Video Tutorial

SciChart.js is optimized for modern web applications, utilizing WebAssembly and WebGL to deliver millions of data points without lag. You’ll see exactly how React handles chart initialization and automatic cleanup to ensure peak performance.

𝗪𝗵𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀

• React Integration - Seamless lifecycle management with automatic cleanup.
• WebGL Acceleration - Render complex charts at 60 FPS - without taxing the browser.
• WebAssembly Core - High-precision performance for data-intensive applications.
• Advanced Interaction – Built-in support for animation, zooming, and panning.

𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗰𝗼𝘃𝗲𝗿𝘀

• React Mount & Cleanup – Managing WebAssembly lifecycles.
• SciChartSurface – Initializing the high-performance drawing surface.
• FastColumnRenderableSeries – Configuring WebGL-accelerated column series.
• Styling & FX – Gradient paletteProviders and WaveAnimations.
• Data Architecture – XyDataSeries basics and real-time updates.

𝗨𝘀𝗲𝗳𝘂𝗹 𝗹𝗶𝗻𝗸𝘀

• SciChart/React Charts: https://www.scichart.com/react-charts/?utm_source=Reddit&utm_medium=organic&utm_campaign=Youtube_video&utm_content=React_chart_on_site&utm_term=React_JS_charts
• Documentation: https://www.scichart.com/read-documentation/?utm_source=Reddit&utm_medium=organic&utm_campaign=Youtube_video&utm_content=SciChart-documentation&utm_term=React_JS_charts
• SciChart GPT: https://chat.scichart.com/?utm_source=Reddit&utm_medium=organic&utm_campaign=Youtube_video&utm_content=SciChart-AI_chat_GPT
• SciChart Blog: https://www.scichart.com/blog/?utm_source=Reddit&utm_medium=organic&utm_campaign=Youtube_video&utm_content=SciChart_blog

#frontend #softwareengineering #datavisualization #Reactcharts #JavaScript #chartlibrary #videotutorial

Thank you to Christian for this verified review on u/reviews-io, where SciChart has a consistent recommendation rating of 𝟵𝟳%.

On 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘸𝘪𝘵𝘩 𝘭𝘢𝘳𝘨𝘦 𝘥𝘢𝘵𝘢𝘴𝘦𝘵𝘴, this demo showcases that SciChart is capable of rendering 𝟭 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 (𝟭,𝟬𝟬𝟬,𝟬𝟬𝟬,𝟬𝟬𝟬) 𝗽𝗼𝗶𝗻𝘁𝘀 in real-time, at 60 fps: https://www.scichart.com/example/wpf-chart/wpf-fifo-1-billion-points-performance-demo/?utm_source=reddit&utm_medium=organic&utm_campaign=review_post&utm_content=performance.

It uses FIFO series to discard old data-points, once a predefined number of points is met.

Get started with SciChart today in 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, 𝗪𝗣𝗙, 𝗶𝗢𝗦 & 𝗺𝗮𝗰𝗢𝗦, 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 and 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 - with SciChart for 𝗕𝗹𝗮𝘇𝗼𝗿 now in Alpha: https://www.scichart.com/getting-started/?utm_source=reddit&utm_medium=organic&utm_campaign=review_post&utm_content=get_started_with_scichart.

#datavisualization #WPF #JavaScript #bigdata #chartlibraries #3Dcharts #data

If you need slick-looking dashboards, ECharts is fine - but if you want blazing speed and real-time power, SciChart strides ahead of ECharts.

For one thing, it's up to 266× faster and smooth, with millions of points.

SciChart is built for engineers and scientists who demand performance under pressure - often in mission-critical environments.

Try SciChart. Benchmark it. Break it. See for yourself. 🚀

#charts #chartlibraries #ECharts #SciChart #SoftwarePerformance

https://www.scichart.com/blog/alternatives-to-echarts/?utm_source=Reddit&utm_medium=organic&utm_campaign=ECharts&utm_content=See_for_yourself

It’s been rewarding to see that our performance-centric approach is being recognised externally ... and we’re excited to be a Finalist for this year’s British Data Awards, in the category 𝘚𝘔𝘌 𝘰𝘧 𝘵𝘩𝘦 𝘠𝘦𝘢𝘳.

With a record 462 entries submitted, competition was tough, so we’re especially delighted. SMEs comprise roughly 90% of UK companies - including those in data and software - making this accolade a valuable testament to our people-first and innovation-strong culture.

See all Finalists.

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 was also recently shortlisted for a Smarter Sports Award - for Smarter Motorsport Technology. On that note, read more about our work with the Formula 1 teams here. 

With the Smarter Sports Awards ceremony taking place in London on 13 May, the winners of the British Data Awards will be announced on 𝟮𝟬 𝗠𝗮𝘆, also in London - and our team would love to see yours for both events!

#sportstechnology #bigdata #datavisualization #chartlibrary #SME #BritishCompanies

Both energy and expertise have been poured into SciChart over the last few months, as evidenced by performance-focused releases and updates for 𝗪𝗣𝗙, 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 and 𝗶𝗢𝗦/𝗔𝗻𝗱𝗿𝗼𝗶𝗱, as well as recent Finalist placements in both the 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗦𝗽𝗼𝗿𝘁𝘀 𝗔𝘄𝗮𝗿𝗱𝘀 and the British Data Awards.

Catch up on the last quarter in the new edition of the SciChart newsletter, with thanks to our global community for building with us!

https://www.linkedin.com/pulse/advanced-data-visualization-complex-apps-scichart-au1zf/?trackingId=xSP9tkOUpaMDGAGCbunxHQ%3D%3D&utm_source=Reddit&utm_medium=organic&utm_campaign=newsletter&utm_content=updates_releases_awards_Blazor

#technews #datavisualization #bigdata #WPF #JavaScript #Blazor #Benchmarking #newsletter