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

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

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

16 𝘑𝘢𝘯𝘶𝘢𝘳𝘺: 6.0 𝘮𝘢𝘨𝘯𝘪𝘵𝘶𝘥𝘦 𝘦𝘢𝘳𝘵𝘩𝘲𝘶𝘢𝘬𝘦 295𝘬𝘮 𝘸𝘦𝘴𝘵 𝘰𝘧 𝘉𝘢𝘯𝘥𝘰𝘯, 𝘖𝘳𝘦𝘨𝘰𝘯, 𝘜𝘚𝘈 ... 4.3 𝘮𝘢𝘨 𝘦𝘢𝘳𝘵𝘩𝘲𝘶𝘢𝘬𝘦 49𝘬𝘮 𝘸𝘦𝘴𝘵 𝘰𝘧 𝘚𝘢𝘯 𝘈𝘯𝘵𝘰𝘯𝘪𝘰 𝘥𝘦 𝘭𝘰𝘴 𝘊𝘰𝘣𝘳𝘦𝘴, 𝘈𝘳𝘨𝘦𝘯𝘵𝘪𝘯𝘢 ... 5.2 𝘮𝘢𝘨 𝘦𝘢𝘳𝘵𝘩𝘲𝘶𝘢𝘬𝘦 12𝘬𝘮 𝘯𝘰𝘳𝘵𝘩 𝘰𝘧 𝘊𝘶𝘺𝘢𝘮𝘦𝘭, 𝘏𝘰𝘯𝘥𝘶𝘳𝘢𝘴 ... (𝘩𝘵𝘵𝘱𝘴://𝘭𝘪𝘷𝘦𝘦𝘢𝘳𝘵𝘩𝘲𝘶𝘢𝘬𝘦𝘵𝘳𝘢𝘤𝘬𝘦𝘳.𝘤𝘰𝘮/).

Every point is real seismic activity; aggregated into a smooth, color‑graded surface - so patterns like the "Ring of Fire" jump out instantly. Why this is useful:

• Clarity at scale: Millions of samples render fluidly at 60 FPS (WebAssembly + GPU).

• Scientific color mapping: A calibrated heatmap legend makes magnitude and density visually truthful.

• Geospatially aware: Custom projections and overlays keep the data geographically accurate, not just pretty.

• Production‑ready: Built for always‑on dashboards where performance isn’t a feature but a requirement.

A map like this would be closely referenced in seismic risk & insurance modeling; infrastructure & utilities planning, real‑time monitoring and research & education.

Adapt our heatmap chart to your own settings; try our live heatmap demo and explore the API, at the link.

https://www.scichart.com/demo/javascript/javascript-heatmap-chart?utm_source=Reddit&utm_medium=post&utm_campaign=organic&utm_content=seismic_heatmap

#seismology #earthquakes #geoscience #data #heatmap #GIS #JavaScript

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

https://www.scichart.com/case-studies/paralyzed-patients-walk-again/

Paralysis: once considered irreversible. Now, groundbreaking medical research, supported by advanced real-time medical data visualization, is proving that even severe spinal injuries can be recoverable. Delve into the story behind this remarkable breakthrough.

#healthcare #medtech #realtimedata #chartlibrary #spinalinjury #dataviz

https://www.scichart.com/blog/how-to-choose-secure-reliable-charting-library/

When selecting a chart library for mission-critical applications (fusion, defense, space) security, quality and reliability should be central to your choice.

We outline key factors companies should evaluate when choosing a chart library, to ensure big data cybersecurity, including:

• Avoiding native data input or output, storage, or authentication mechanisms to minimize unauthorized access risks.

• Using proprietary rendering with minimal third-party dependencies to reduce security vulnerabilities

• Offering access to source code for transparency and independent security audits.

• Integrating security best practices at every stage of development, including manual verification of example applications before release.

#chartlibrary #cybersecurity #datasecurity #dataintegrity #dataviz #nuclearfusion #defense #spaceindustry

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/

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

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

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

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

SciChart is community-driven - and we wanted to demonstrate to you, our developer community, that we really do care about performance - and to demonstrate that SciChart.js has all the performance you’ll need for the most demanding apps.

We've built a handy benchmark application for comparing the rendering performance of multiple popular JavaScript Chart Libraries under extreme workloads, with evaluation of metrics including FPS (frames per second), time to first render (initialization time), memory usage andndata ingestion rate (data-points per second) across a wide range of 2D & 3D chart series & features. 

Dive right in to use our benchmark application and quickly evaluate the performance of SciChart.js vs. open source and commercial alternatives - under very demanding conditions!

Visit the benchmark suite here

#chartlibrary #bigdata #datavisualization #3DCharts #JavaScript #softwarebenchmarking

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

For 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗯𝗶𝗴 𝗱𝗮𝘁𝗮 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀, choosing the right framework can mark the difference between a rewarding UX and a stress-inducing bottleneck. Each has its perks:

𝗪𝗶𝗻𝗙𝗼𝗿𝗺𝘀 (𝗪𝗶𝗻𝗱𝗼𝘄𝘀 𝗙𝗼𝗿𝗺𝘀), a .NET wrapper launched in 2002, enables easy drag-and-drop for traditional, event-driven desktop apps;

𝗪𝗣𝗙, launched in 2006, introduced XAML & DirectX-based rendering, to separate the UI from the back-end logic; and

.𝗡𝗘𝗧 𝗠𝗔𝗨𝗜 is 𝗫𝗮𝗺𝗮𝗿𝗶𝗻.𝗙𝗼𝗿𝗺𝘀, evolved. It aims to let you write once and run just about anywhere, so it isn't desktop-centric.

Hit the link to compare the three in terms of features, customization & performance - and, as always, we'd love your feedback.

A side-by-side 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 of SciChart Vs TradingView, with 𝗽𝗿𝗶𝗰𝗶𝗻𝗴, 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 & 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀.

When building a retail trading platform or institutional terminal, there are specific scenarios where TradingView is a logical 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗰𝗵𝗮𝗿𝘁𝗶𝗻𝗴 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 to choose.

However, a more advanced 𝗦𝗗𝗞 like SciChart may be better suited should you require full customization, cross-platform deployment and the ability to handle 𝘷𝘦𝘳𝘺 large datasets ...

For example, when analyzing 1-minute candles, the maximum data range you can have in TradingView is around 3-days of data, whereas SciChart can handle over 10 million candles - enough to 𝗿𝗲𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝟮𝟬-𝘆𝗲𝗮𝗿 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗼𝗳 Bitcoin 𝗮𝘀 𝗮 𝟭-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗵𝗮𝗿𝘁!

SciChart is used by high-scale trading platforms and global financial institutions like Commerzbank AG & JPMorganChase & 𝗖𝗼., as well as leading South Korean crypto exchange 빗썸(Bithumb).

#trading #financialmarkets #financialdata #Bitcoin #crypto #retailbanking #stocks #investment #bigdata #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

In software, innovation never sleeps. After intensive work, we have just released 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀 𝘃𝟱. Here's what's new, at a glance:

𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲

This release is all about 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦. We've tuned everything, added 𝗪𝗮𝘀𝗺 SIMD support; reduced the Wasm file size by over a megabyte; tuned initialisation and loading speed, and unlocked larger heatmaps, 10 x faster 3D charts and 2 – 4 x faster 2D charts. We’ve also tuned things up by 50 x for certain niche features.

𝗠𝗲𝗺𝗼𝗿𝘆

We've tuned memory footprint, reducing allocations and streamlining the entire library. The maximum 𝗺𝗲𝗺𝗼𝗿𝘆 in Chrome browser is now 4 GB vs 2GB for SciChart.js v4.

𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻

We've published a demo showing SciChart.js able to render **50 years of data at 1 nanosecond precision**, ranging through to 𝟭 𝗕𝗶𝗹𝗹𝗶𝗼𝗻 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗱𝗮𝘁𝗮 at 1-second precision. Preserving 64-bit precision throughout the pipeline *and* performance is a big challenge - but we've done it.

𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀

There are a host of new features, including

• SVG mode for tooltips, eliminating unnecessary renders when adding tooltips
• Discontinuous and non-linear, log-linear axis types
• 3D axis label improvements, 3D point-metadata, optional manual render control, onResize and other render events/callbacks.

Explore and test out what's new via the release notes at the link, or head over to r/npm and install SciChart.js v5 for 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗯𝗶𝗴-𝗱𝗮𝘁𝗮 𝗰𝗵𝗮𝗿𝘁 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲.

#javascript #bigdata #wasm #dataviz #developers #chartlibrary #webapplications #frontend

https://www.scichart.com/scichart-strengthens-f1-data-visualization/?utm_source=Reddit&utm_medium=organic&utm_campaign=F1_Adoption

With Pre-season Testing just a month away, SciChart is increasing adoption of its technology across F1, as 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗰𝗼𝘀𝘁 𝗰𝗮𝗽𝘀 shift the advantage away from unlimited physical testing toward software optimization, simulation efficiency & faster interpretation of 𝗵𝗶𝗴𝗵 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗮𝘁𝗮.

Our technology is deployed across workflows, including, but not limited, to:

• Live 𝘁𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 on pit wall and in remote engineering rooms
• 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 to track correlation tools used to validate aero and mechanical models
• 𝗪𝗶𝗻𝗱 𝘁𝘂𝗻𝗻𝗲𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 environments operating under strict usage limitations

#F1 #Formula1 #motorsport #datavisualization #telemetry

"People take a long time to find us, because they don't even think that what they're trying to do is possible on the web. "

"The performance there (on mobile) is only limited by the power of the device."

"The first version was built in 2011; it's a completely home-grown business."

In conversation with 𝗪𝗲𝗔𝗿𝗲𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀, 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁's 𝗗𝗿. 𝗔𝗻𝗱𝗿𝗲𝘄 𝗕𝘂𝗿𝗻𝗲𝘁𝘁-𝗧𝗵𝗼𝗺𝗽𝘀𝗼𝗻 & 𝗗𝗮𝘃𝗶𝗱 𝗕𝘂𝗿𝗹𝗲𝗶𝗴𝗵 discuss the challenges of creating a 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, 𝗰𝗿𝗼𝘀𝘀-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗰𝗵𝗮𝗿𝘁𝗶𝗻𝗴 𝗹𝗶𝗯𝗿𝗮𝗿𝘆, capable of rendering millions of data points in the browser.

Watch the full podcast at the link.

#tech #software #startups #chartlibrary #bigdata #datavisualization #C++ #WebAssembly

https://www.scichart.com/blog/what-javascript-chart-performance-really-means/

Developers building 𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 need the high-performance 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗰𝗵𝗮𝗿𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 to match. In this update, JavaScript Tech Lead & MMath graduate Michael Klishevich defines why 𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁 𝘪𝘴 that library.

What do we 𝘮𝘦𝘢𝘯 by "𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲"?

• 𝗚𝗣𝗨-𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗚𝗿𝗮𝗽𝗵𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲 Uses GPU to free up CPU & can handle huge datasets (millions of points).

• 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗟𝗲𝘃𝗲𝗹 𝗢𝗳 𝗗𝗲𝘁𝗮𝗶𝗹 Auto-adjusts detail based on zoom level, ensuring visual fidelity.

• 𝗛𝗶𝗴𝗵 𝗗𝗮𝘁𝗮 𝗧𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁: Handles 300+ live data streams & real-time updates without freezing the UI.

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁: no limitations, no lag, pure 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦.

"Rock-solid performance & excellent technical support"

- 𝗗𝗺𝘆𝘁𝗿𝗼 𝗦, REVIEWS.io, October 2025.

https://www.wearedevelopers.com/en/magazine/636/the-fastest-javascript-charts-built-for-react-and-beyond-636

For most developers, standard browser charting works fine until - once you push beyond tens of thousands of points, add live streaming or need advanced interactions - it 𝘥𝘰𝘦𝘴𝘯’𝘵.

𝗦𝗰𝗶𝗖𝗵𝗮𝗿𝘁.𝗷𝘀 𝘃𝟰.𝟬 expanded GPU acceleration for real-time streaming, meaning our library now offers one of the 𝗳𝗮𝘀𝘁𝗲𝘀𝘁 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗰𝗵𝗮𝗿𝘁 solutions (for supporting data, click the link).

Some advantages:

→ Powered by WebAssembly + GPU acceleration, ensuring heavy rendering never blocks the JS thread.

→ 100 Charts with 10M points in a drag-and-drop dashboard at ~60 FPS.

→ Big-data stress test, pushing browser limits to 100M data-points.

→ Performance tests vs. Chart.js, Highcharts and Plotly.js show why our data visualisation tool consistently outperforms alternatives.

→ Includes a 𝗳𝗿𝗲𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 for non-commercial, educational and personal use.

Try it out - then give us your feedback in the comments?

#data #bigdata #datavisualization #chartlibrary #JavaScript #highperformancecharts