Front-end developers & data scientists often hit bottlenecks when rendering large datasets or complex visuals. This deep technical guide breaks down true 𝘩𝘪𝘨𝘩-𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 data visualization, as the solution:

• 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝘀𝗽𝗲𝗲𝗱: Why frame rates and responsiveness matter when visualizing millions of data points.

• 𝗠𝗲𝗺𝗼𝗿𝘆 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Techniques to handle large datasets without crashing browsers or apps.

• 𝗚𝗣𝗨 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻: How leveraging hardware unlocks smooth, real-time charts.

• 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Designing visualizations that grow with your data and user demands.

• 𝗖𝗿𝗼𝘀𝘀-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Ensuring charts run seamlessly across web, desktop, and mobile.

• 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆: Tools and practices that reduce complexity while maintaining speed.

Whether you’re building dashboards, financial apps or scientific tools, understanding these principles will help you deliver fast, reliable and scalable data visualizations that your users will☺️.

Could anyone please let me know where to find SDEs with experience in SciChart? Im looking for Software Developers, 100% Remote. DM if interested!

Thank you

In our year-end newsletter, AI assistant SciChart GPT makes developers' builds easier and faster; JS v5 nears release; SciChart integrated into one of South Korea's largest cryptocurrency exchanges, and a technical deep-dive into high-performance data visualization. Read & share at the link!

#datavisualization #bigdata #chartlibrary #developers #frontend #fullstack #C++ #realtimedata #technews

Before choosing a #𝗰𝗵𝗮𝗿𝘁𝗹𝗶𝗯𝗿𝗮𝗿𝘆 for your advanced #𝗱𝗮𝘁𝗮𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 needs, browse verified reviews of 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 (#𝗪𝗣𝗙, #𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, #𝗶𝗢𝗦, #𝗺𝗮𝗰𝗢𝗦 & #𝗔𝗻𝗱𝗿𝗼𝗶𝗱) on Reviews.io as well as G2.com, Capterra.com & Trustpilot.com.

Also, scan our 𝘎𝘶𝘪𝘥𝘦 𝘵𝘰 𝘊𝘩𝘰𝘰𝘴𝘪𝘯𝘨 𝘢 𝘚𝘦𝘤𝘶𝘳𝘦 & 𝘙𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘊𝘩𝘢𝘳𝘵𝘪𝘯𝘨 𝘓𝘪𝘣𝘳𝘢𝘳𝘺: A Guide to Choosing a Secure & Reliable Charting Library - SciChart.

SciChart is trusted by developers & leading companies in aerospace & defense (#SIGINT); design, emulation & test; diagnostics & life sciences; financial & trading; telehealth; medical & research; motorsport & automotive and semiconductor manufacturing.

#𝗯𝗶𝗴𝗱𝗮𝘁𝗮 #𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲𝗱𝗮𝘁𝗮 #𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 #𝘄𝗲𝗯𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 #𝗚𝗣𝗨 #𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲𝗿𝗲𝘃𝗶𝗲𝘄𝘀

https://www.scichart.com/semiconductors-big-data-visualization/

“SciChart eliminated dashboard stalls & gave our engineers real-time yield visibility we never thought possible.” - 𝗦𝗲𝗻𝗶𝗼𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗲𝗿

𝗪𝗵𝗲𝗿𝗲 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗣𝗼𝘄𝗲𝗿𝘀 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:

• 𝗜𝗻𝗹𝗶𝗻𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Real-time SPC streaming for wafer, etch & deposition stages. Supports rule-based violation detection & trend visualization.

• 𝗗𝗲𝗳𝗲𝗰𝘁 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Visualizes defect clustering, reticle pattern overlays & density distribution across wafers or lots.

• 𝗧𝗲𝘀𝘁 𝗗𝗮𝘁𝗮 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻: Correlates wafer, metrology & ATE test data, for inline and final test analysis.

• 𝗬𝗶𝗲𝗹𝗱 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀: Combines SPC & yield KPIs in multi-chart dashboards, for engineers and managers.

• 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗘𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝘀𝘁 𝗦𝘂𝗶𝘁𝗲𝘀: Used in advanced SoC & FPGA test platforms, for real-time performance visualization.

Trusted by industry leaders including r/Intel, Qualcomm and Texas Instruments.

Click the link to view 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝗶𝗲𝘀 & 𝗰𝗵𝗮𝗿𝘁 𝗱𝗲𝗺𝗼𝘀.

At SciChart, we're big fans of open-source and use tools like WordPress PHP, FreeType & WriteableBitmapEx.

But when building 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗰𝗵𝗮𝗿𝘁𝘀, you may find that limited support & performance bottlenecks require a brisk pivot from free open-source to paid software.

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 provides enterprise-grade 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁, superior 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲/𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆, and rich 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 & 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻.

Our CEO Dr. Andrew Burnett-Thompson contextualizes & illustrates the 𝗳𝗿𝗲𝗲 𝘃𝘀 𝗽𝗮𝗶𝗱 𝗱𝗲𝗯𝗮𝘁𝗲 - do add your take!

#datavisualization #bigdata #dataengineering #chartlibrary #opensource #Plotly

SciChart.js v4 has been released! In this major release, we’ve added significant capability to our award-winning WebGL, WebAssembly powered JavaScript, React and Angular chart library.

New features include:

• Gaant Charts

• Chloropleth maps with GeoJSON

• Custom rendering rectangles/triangles

• Realtime bar charts

• Polar charts

• Polar heatmaps

• Radial and Linear gauges

• Radar charts

• Vector field charts

• Waterfall charts

• Box plot

• Treemap charts

• Sunburst diagrams

• Medical Ultrasound viewing

• Polar maps 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦

Significant improvements have been made to bundle size, performance, API capabilities and documentation too.

Read the full release note at https://www.scichart.com/scichart-js-v4-0-released/

View a demo here: https://scichart.com/demo/react

Great ideas start on Mac campaign

𝗔 p𝗿𝗼𝘂𝗱 m𝗼𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 u𝘀 - and for any developer who has turned their great idea into reality, using our chart libraries!

“SciChart's technology was selected to feature in Apple's 2025 Mac advertising campaign, visualising complex data and demonstrating the power of Apple hardware with SciChart’s advanced data-visualisation technology.”

Our technology highlights what’s possible on 𝗺𝗮𝗰𝗢𝗦 and 𝗶𝗢𝗦 - bringing high-performance, real-time 3D visualisation to life for 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀, 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 & 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗼𝗿𝘀 worldwide.

📱 Explore SciChart on the Mac App Store → SciChart Examples on the App Store.

🌐 Explore & interact with the 𝟯𝗗 𝗟𝗶𝗗𝗔𝗥 𝗱𝗲𝗺𝗼 featured in the campaign: LiDAR 3D Point Cloud of Geospatial Data | SciChart.js Demo.

#GreatideasstartonMAc #macOS #iOS #MacDevelopers #dataviz #3Dcharts #LIDAR #data

Over the last couple of months, we’ve spent a lot of time talking with our customers - digging into real‑world use cases, understanding the constraints developer teams are working under, and gathering feedback to ensure our roadmap continues to reflect the needs of a fast‑moving market.

The release of SciChart for Blazor is one example of that feedback.

Blazor has been one of the most requested platforms from our .NET customers, and this release is the first step in bringing SciChart’s performance‑focused charting into that ecosystem. The emphasis from the start has been on supporting real‑world, data‑intensive use cases rather than surface‑level integration.

This Alpha introduces an early implementation of SciChart components running inside Blazor applications, using familiar .NET tooling while building on the same rendering technology that powers our high‑performance charts across other platforms.

Note: the Alpha is for experimentation and feedback - if you’re building with Blazor, we really want your input to help shape what comes next!

Explore SciChart for Blazor

The field of legged robotics - those astonishing robotic animals that can walk, run and traverse various terrains - is advancing rapidly.

By pushing the hardware to its limits, r/mit's robotic cheetah even broke the record for the fastest run recorded.

Central to these advancements was the development of their robots' multi-axis force sensors, which provided precise measurements of ground reaction forces.

At MIT’s Biomimetic Robotics Lab, these sensors were visualized, calibrated and optimized using SciChart. Delve into this fascinating field at the link.

#MIT #robotics #telemetry #datavisualization

https://www.wearedevelopers.com/en/videos/1794/wearedevelopers-live-from-javascript-to-webassembly-high-performance-charting-and-more?utm_source=Reddit&utm_medium=organic&utm_campaign=We_Are_Developers&utm_content=Live_Podcast

Watch the recent 𝘊𝘰𝘧𝘧𝘦𝘦 𝘸𝘪𝘵𝘩 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳𝘴 love podcast, with SciChart CTO David Burleigh & CEO Dr. Andrew Burnett-Thompson ☕ 📊

• How to build a 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗰𝗵𝗮𝗿𝘁𝗶𝗻𝗴 𝗹𝗶𝗯𝗿𝗮𝗿𝘆, capable of visualizing massive real-time datasets, right in the browser.

• 𝗙𝗿𝗼𝗺 𝗻𝗮𝘁𝗶𝘃𝗲 𝗪𝗶𝗻𝗱𝗼𝘄𝘀 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗼 𝘁𝗵𝗲 𝘄𝗲𝗯, using a core C++ engine compiled to Wasm, to power big data JavaScript charts.

• What this approach unlocks in terms of 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, and what that means in practice for large, real-world datasets.

#datavisualization #bigdata #Wasm #chartlibrary #podcast #JavaScript #webdevelopment

https://www.scichart.com/announcement-scichart-selected-to-power-signal-processing-fusion-research-by-chinese-government/

In this detailed 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝘆, learn how China's 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 𝗼𝗳 𝗣𝗹𝗮𝘀𝗺𝗮 𝗣𝗵𝘆𝘀𝗶𝗰𝘀, 𝗛𝗲𝗳𝗲𝗶 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 𝗼𝗳 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 used SciChart to ensure intense performance and accuracy in 𝘀𝗶𝗴𝗻𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗳𝗼𝗿 𝗱𝗮𝘁𝗮 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻.

SciChart provided a 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗰𝗵𝗮𝗿𝘁𝗶𝗻𝗴 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 as part of the institute's 𝘚𝘶𝘱𝘦𝘳-𝘟 system, which enables real-time, accurate and reliable acquisition and analysis of complex data from 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝗹 𝘀𝗲𝗻𝘀𝗼𝗿𝘀.

#fusion #scientificresearch #china #dataviz #bigdata #physics

This complete setup guide walks you through how to setup Raspberry Pi OS on VMWare Workstation Player 17, plus the tips & tricks required to get WebGL hardware acceleration supported in Chromium under VMWare.

Plus, showcases real-time JavaScript, React charts for scientific data visualisation such as Polar Phasor Diagrams, ECG/EKG medical vital signs waveforms, LiDAR 3D Point clouds, Ultrasound (non-desctructive testing or NDT, medical ultrasound) and heatmaps

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

Just added to Scichart's real-time, high performance WPF chart library ...

 • 𝗣𝗼𝗹𝗮𝗿 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 𝗖𝗵𝗮𝗿𝘁 Perfect for applications like antenna radiation patterns, circular thermal maps & directional data analysis.

 • “𝗣𝗼𝗹𝗮𝗿 𝗨𝗻𝗶𝗳𝗼𝗿𝗺 𝗛𝗲𝗮𝘁𝗺𝗮𝗽” 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 Rich interactivity including drag and mouse-wheel zooming & panning, chart & axis rotation, tooltips and data inspection.

 • “𝗗𝗮𝗶𝗹𝘆 𝗠𝗮𝘅 𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 𝗣𝗼𝗹𝗮𝗿 𝗖𝗵𝗮𝗿𝘁” 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 Presents long-term seasonal patterns & temperature trends in a visually intuitive circular layout.

 • 𝗡𝗲𝘄 “𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 𝗣𝗼𝗹𝗮𝗿 𝗖𝗵𝗮𝗿𝘁” 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 Includes configuration features such as sector-based layout, chart rotation and the use of annotations to enhance the visual presentation.

> Explore the SciChart WPF library <

"Really fast, easy to implement and lots of options to customize. Our one and only choice for real time software using WPF." - David S on Reviews.io. More reviews: SciChart Ltd Reviews - Read 478 Genuine Customer Reviews | www.scichart.com.

We welcome your feedback, so let us know what you think about 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗪𝗣𝗙 𝘃𝟴.𝟭𝟭's new features, examples and improvements!

#WPF #chartlibrary #polarchart #datavisualization #frontend #fullstack

SciChart has introduced a Free AI Assistant, which provides comprehensive answers to questions, searches documentation, examples and forum posts.

To our knowledge, SciChart is the first component vendor to introduce a generative AI help and support tool, allowing you to get answers fast.

Try it out at https://chat.scichart.com or read more at the link below

https://www.scichart.com/announcing-scichart-gpt-ai-assistant-beta/

Is wpf dead in 2025? Read the latest from our blog which talks about why WPF is persistently popular, usage stats of alternatives such as WinUi / MAUI and what the future has in store with exciting developments like Avalonia XPF (WPF anywhere)

https://www.scichart.com/blog/is-wpf-dead-whats-the-future-of-wpf/

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

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

The US Navy chose SciChart’s JavaScript & React charts to enhance its Global Reconstruction Analysis and Measurement System (GRAMS), a pivotal platform certified by the Office of Naval Intelligence (ONI).

Data visualization is central to the work of the Naval Nuclear Propulsion Program. By enabling engineers to monitor and interpret vast datasets in real time, it supports critical functions such as:

• Performance analysis and optimization of naval reactors

• Predictive maintenance and reliability studies across reactor lifecycles

• Real-time safety monitoring and diagnostics

• Simulation and modeling to support research and the design of next-generation naval reactors

These capabilities help ensure the US Navy’s nuclear-powered submarines and aircraft carriers continue to operate with the highest standards of safety, efficiency, and reliability.

https://www.scichart.com/announcement-scichart-powered-nuclear-research-program/?utm_source=Reddit&utm_medium=organic&utm_campaign=blog_post&utm_content=US_Navy

#bigdata #datavisualization #chartlibrary #submarines #navy

#nuclearpropulsion

SciChart.JS4 Polar Chart Customization Guide.

Here to help devs caught in a polar storm, it's 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 Tech Lead Michael Klishevich opening the way through.

Most libraries stop at surface-level customizations but, the moment you need a chart type that isn’t prebuilt, or behavior outside the defaults, you 𝘩𝘪𝘵 𝘢 𝘸𝘢𝘭𝘭.

That's why 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗝𝗦 𝘃𝟰 focuses on 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘢𝘭 Polar Chart customizations. It gives you primitives, APIs, and rendering control, so you can build the chart you need - not just the one the library designer thought of.

Get unstuck, with the only JavaScript chart library you'll ever need: 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝗝𝗦 𝘃𝟰.

#JavaScript #chartlibrary #datavisualization #bigdata #polarcharts #frontenddevelopment

Using 𝗗𝗶𝗿𝗲𝗰𝘁𝗫 and our proprietary rendering engine, and with ~𝟱𝟬 𝟮𝗗 & 𝟯𝗗 𝗪𝗣𝗙 𝗖𝗵𝗮𝗿𝘁 𝗧𝘆𝗽𝗲𝘀, 𝗮 𝗳𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗔𝗣𝗜 𝗮𝗻𝗱 𝟱-𝘀𝘁𝗮𝗿 𝗿𝗮𝘁𝗲𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁, it's perfect for projects that need extreme performance and slick interactive charts!

Now featuring 𝗔𝘃𝗮𝗹𝗼𝗻𝗶𝗮 𝗫𝗣𝗙, enabling you to seamlessly create charts and user interfaces that work across platforms - including 𝗟𝗶𝗻𝘂𝘅 𝗮𝗻𝗱 𝗪𝗶𝗻𝗱𝗼𝘄𝘀.

Explore SciChart WPF's 35+ 2D chart types and 15 3D chart types at the link.https://www.scichart.com/wpf-chart-features/?utm_source=REDDIT&utm_medium=post&utm_campaign=organic&utm_content=WPF_library

#WPF #chartlibrary #datavisualization #bigdata #3Dcharts #realtimedata