Noticias sobre Charts

Realice un seguimiento de los cambios a medida que ocurren con gráficos en vivo

Noviembre 14, 2025
Muestre datos de gráficos en vivo para ofrecer información en tiempo real, decisiones más rápidas, detección temprana de problemas e informes más atractivos y precisos.

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

Compare múltiples conjuntos de datos con diagramas de dispersión

Octubre 30, 2025
Compare y analice fácilmente series de datos diversos con gráficos de dispersión personalizables que revelan relaciones, tendencias y valores atípicos para obtener una visión más profunda.

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

Navegue por gráficos con una ventana de zoom flexible

Octubre 29, 2025
LightningChart .NET v12.4.1 agrega LiteZoomBar, que permite a los usuarios ver conjuntos de datos completos y al mismo tiempo centrados en áreas clave para revelar patrones en datos complejos.

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.

Explore la información del panel con gráficos versátiles

Octubre 27, 2025
DevExpress Blazor permite que los datos se transformen en imágenes atractivas con una amplia gama de tipos de gráficos para una mayor claridad y flexibilidad.

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:

Optimice el diseño de gráficos con posiciones de leyenda flexibles

Octubre 21, 2025
LightningChart Python v2.0 agrega posicionamiento de leyenda adaptable con control sobre la ubicación para optimizar la legibilidad y crear gráficos visualmente equilibrados.

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.