Charts 新聞

用即時圖表跟蹤即時發生的變化

11月 14, 2025
顯示即時圖表資料，以提供即時見解、更快的決策、更早的問題檢測以及更具吸引力、更準確的報表。

Live data support for charts enables visualizations to update automatically as new information arrives, turning static dashboards into continuously refreshed, real-time views. This reduces reliance on manual refreshes or scheduled reports and helps prevent decisions based on stale data. Teams gain immediate insight into changing conditions, spotting anomalies, performance issues, or opportunities as they emerge. Typical use cases include monitoring website traffic, application performance, financial markets, IoT sensors, and business KPIs such as orders, revenue, or support queues. By making current metrics instantly visible, live charts improve responsiveness, operational control, and confidence in data-driven decisions and outcomes across the organization.

Several React chart controls support live data including:

  • DevExtreme React Chart (part of DevExtreme Complete by DevExpress) lets you stream live data into interactive visualizations, keeping dashboards continuously updated.
  • amCharts 5: Charts allows you to visualize constantly updating live data, animating changes smoothly so users immediately see evolving trends and anomalies.
  • Ignite UI for React Chart (part of Infragistics Ignite UI by Infragistics) lets you render high-frequency, real-time data streams, maintaining responsive, high-performance dashboards.
  • FusionCharts Suite XT facilitates real-time, self-updating charts that pull live data from servers, powering monitoring dashboards, trading interfaces, and operational views.

For an in-depth analysis of features and price, visit our React chart controls comparison.

Compare React Chart Controls

用散點圖比較多個資料集

10月 30, 2025
用可自訂的散點圖輕鬆比較和分析不同的資料數列，該些圖揭示了關係、趨勢和異常值，以獲得更深入的見解。

A scatter chart is a visual tool that displays relationships between two variables by plotting data points on an X and Y axis. Each point represents a value pair, helping users quickly identify patterns, correlations, and outliers within complex datasets. Scatter charts effectively highlight trends, clusters, and anomalies that might not be visible in tables. With customizable markers, colors, and sizes, they clearly differentiate data groups. Common use cases include analyzing sales versus marketing spend, comparing temperature and energy use, or assessing customer satisfaction relative to pricing. This turns raw data into clear and actionable visual insights.

Several JavaScript chart controls offer scatter charts including:

  • DevExtreme Angular Chart (part of DevExtreme Complete by DevExpress) lets you visualize complex relationships through interactive scatter charts with clear data markers.
  • Highcharts Core by Highsoft enables detailed scatter chart visualizations with dynamic tooltips, real-time updates, and rich customization for professional analytics.
  • AnyChart JS allows you to create insightful scatter plots highlighting correlations, clusters, and outliers with flexible styling and interactivity.
  • Syncfusion JavaScript Charts (part of Syncfusion Essential Studio Enterprise) facilitates precise scatter chart rendering with high performance and advanced customization.

For an in-depth analysis of features and price, visit our JavaScript chart controls comparison.

Compare JavaScript Chart Controls

用靈活的縮放視窗導航圖表

10月 29, 2025
LightningChart .NET v12.4.1 添加 LiteZoomBar，讓使用者能夠在專注於關鍵區域以揭示複雜資料中的模式的同時查看完整的資料集。

LightningChart .NET is a high-performance data visualization library designed for .NET developers working with WPF, WinForms, and UWP applications. It offers GPU-accelerated rendering for smooth real-time visualization of massive datasets, exceeding billions of data points. This library supports a wide variety of chart types, including 2D, 3D, polar, and geographic maps, along with extensive customization options for each. LightningChart .NET is a powerful tool for developers creating demanding data visualization applications requiring exceptional performance.

The LightningChart .NET v12.4.1 update enhances data visualization and navigation, allowing developers to display an overview of the entire dataset alongside a zoomed-in chart view - improving context awareness when analyzing large or complex data. The new LiteZoomBar offers a lightweight, memory-efficient alternative for applications requiring optimized performance. This tool provides greater control and efficiency in exploring and interpreting chart data.

To see a full list of what's new in v12.4.1, see our release notes.

LightningChart .NET is available per developer in packages for either WPF, WinForms, UWP or all 3. Each package comes as a subscription license (with 1 or 2 years of limited support), or a perpetual license (with 1 or 2 years of Standard or Premium support). Floating licenses and site licenses are available upon request. See our LightningChart .NET licensing page for full details.

Learn more on our LightningChart .NET product page.

用多功能圖表探索儀錶板見解

10月 27, 2025
DevExpress Blazor 可將資料轉換成具有多種圖表類型的引人入勝的視覺效果，以取得更大的清晰度和彈性。

DevExpress Blazor (part of DevExpress ASP.NET and Blazor) helps you create high-impact user experiences for both Blazor Server and Blazor WebAssembly using C#. The Blazor UI Component Library ships with a comprehensive set of native components (including a DataGrid, Pivot Grid, Scheduler, Chart, Data Editors and Reporting).

DevExpress Blazor provide comprehensive chart types that allow developers to present data in the most effective and readable format for any scenario. With support for a wide range of 2D chart options, including standard, stacked, and financial views, developers can accurately visualize trends, comparisons, and relationships within their applications. These charts integrate seamlessly into interactive dashboards, enabling real-time data analysis and clear visual storytelling. The flexibility of the chart types ensures precise data representation, while built-in export capabilities simplify sharing insights across platforms and reports, supporting the creation of professional, data-driven interfaces with minimal effort.

DevExpress ASP.NET and Blazor is licensed per developer and is available as a Perpetual License with a 12 month support and maintenance subscription. See our DevExpress ASP.NET and Blazor licensing page for full details.

DevExpress Blazor is available in the following products:

用靈活的圖例位置優化圖表佈局

10月 21, 2025
LightningChart Python v2.0 添加自適應圖例定位，可控制位置，以優化可讀性並建立視覺平衡的圖表。

LightningChart Python is a high-performance visualization library designed for real-time analytics and large-scale data rendering. Utilizing GPU acceleration and WebGL, it efficiently processes millions of data points in 2D and 3D with smooth, interactive visuals. Some example chart types include Line graphs, Scatter plots, Heatmaps, Area plots, Box plots, 3D Surface graphs and Mesh plots, and it supports UI elements such as CustomTicks, interval Bands and Constant Lines. It seamlessly integrates with Python’s data ecosystem, including numpy, pandas, and GUI frameworks like PyQt and PySide, making it a powerful tool for interactive dashboards, financial analytics, scientific simulations, and engineering applications.

The LightningChart Python v2.0 update introduces flexible legend positioning, giving developers precise control over where legends appear within their charts. This enhancement allows legends to be placed above, below, beside, or inside the chart area, enabling better use of available space and improved readability across different layouts. By adapting legend placement to suit varying screen sizes, data densities, and design requirements, developers can create cleaner, more efficient visualizations that align seamlessly with their application’s user interface and presentation goals.

To see a full list of what's new in v2.0, see our release notes.

LightningChart Python offers two licensing options: the subscription-based Data Scientist License for internal, non-public facing usage and the perpetual, per-seat Software Developer License for commercial use with professional support and deployment keys. Both licenses allow one active session per user, with developer licenses assigned individually. See our LightningChart Python licensing page for full details.

For more information, see our LightningChart Python product page.