Seit 1965 denken wir Banking neu. Nicht, weil wir müssen – sondern weil wir wollen. Ob im Team, unseren Werten oder in Ideen für einfaches, digitales Banking: Wir gehen voran. Weil wir neugierig bleiben. Und weil wir stolz darauf sind, Teil dieser Geschichte zu sein.Die Highlights dazu gibt's hier. 

93,9 %. Das ist mehr als einfach nur eine Zahl. Sie steht für gelebte Vielfalt, für Zugehörigkeit und dafür, dass DIB bei uns nicht nur Schlagworte sind, sondern Teil unserer Unternehmenskultur.

🫶 Ein ausgezeichnetes Ergebnis, das wir dem täglichen Engagement unseres LGBTQI+ Netzwerks Rainbow Lions, den DIB Communities, unseren Führungskräften, engagierten Verbündeten und allen Mitarbeitenden verdanken.

Workplace Pride setzt sich weltweit dafür ein, dass sich Menschen der LGBTQI+ Community am Arbeitsplatz sicher, gesehen und unterstützt fühlen. Mit dem Global Benchmark schauen sie jedes Jahr ganz genau hin: Wie gut gelingt es Unternehmen, echte Inklusion zu leben – und zwar international?

For .NET desktop developers, the choice between WPF and Avalonia depends mainly on platform strategy.

WPF is still a strong choice for Windows-only enterprise applications. It is mature, stable, deeply integrated with the Windows ecosystem, and supported by years of Visual Studio tooling, documentation, third-party controls, and production use.

Avalonia is designed for modern cross-platform .NET desktop development across Windows, macOS, and Linux. It uses Skia and multi-backend rendering, giving developers more flexibility when applications need to run beyond Windows.

For new cross-platform applications, Avalonia UI can be a strong option. It feels familiar to XAML developers while offering broader platform reach.

For teams with existing WPF applications, Avalonia XPF is especially relevant. It is a commercial WPF compatibility layer built on Avalonia that allows existing WPF apps to run on macOS and Linux with minimal code changes.

For advanced data visualization, the UI framework is only part of the stack. Real-time telemetry, financial dashboards, scientific applications, and other data-intensive systems often depend more on the rendering engine than the windowing framework.

SciChart supports both WPF and Avalonia XPF, helping developers maintain high-performance, real-time data visualization while choosing the platform strategy that fits their application.

In short:

Choose WPF if you are Windows-first and need maturity, tooling, and proven enterprise stability.

Choose Avalonia UI for new cross-platform .NET desktop applications.

Choose Avalonia XPF if you need to move an existing WPF application beyond Windows with minimal code changes.

Read the full technical blog:
https://www.scichart.com/blog/wpf-vs-avalonia/

Developers evaluating charting libraries for high-performance applications ask the same question: which one actually holds up under real data loads?

We built an open-source benchmark to find out.

What is Chart Bench?

Chart Bench is an open-source JavaScript chart performance benchmark suite that stress-tests popular charting libraries across 13 test cases - including line, scatter, heatmap, candlestick, 3D surface, and multi-chart scenarios.

It measures:

• Frames per second (FPS)
• Time to first render (init time)
• Memory usage
• Data ingestion rate (points/sec)

The benchmark is designed to simulate extreme workloads: millions of data points, real-time streaming, and multiple charts on screen.

It runs locally on your hardware, logs results, and allows JSON export for sharing or comparison.

Clone and run it:
https://github.com/abtsoftware/javascript-chart-performance-test-suite

Libraries Tested

• SciChart.js
• LightningChart.js (v4 + v8)
• Plotly.js
• Highcharts
• Chart.js
• Apache ECharts
• uPlot
• ChartGPU

What It Measures

• FPS under increasing data loads
• Time to first render (ms)
• Memory usage (JS heap)
• Data ingestion rate (points/sec)
• Failure conditions: hangs, freezes, crashes

One Number Worth Knowing

In internal benchmark runs, SciChart.js reached ~40 million data points per second ingestion rate and led in FPS across a majority of tested scenarios on a range of hardware.

Full results - across multiple hardware configurations from high-end GPUs to low-power devices - are published here:

https://www.scichart.com/blog/chart-bench-compare-javascript-chart-libraries/

SciChart is a high-performance charting library for JavaScript, WPF, iOS, and Android, designed for real-time, large-scale data visualisation using GPU-accelerated rendering.

 https://www.scichart.com