Notizie su Charts

Migliora l'interattività con i controlli reattivi dei grafici

Marzo 24, 2025
Crea visualizzazioni dei dati reattive che si adattano a qualsiasi dispositivo per una leggibilità ottimale, un'interazione fluida e una presentazione coerente.

Responsive charts are dynamic data visualizations that automatically adjust to different screen sizes, resolutions, and devices, ensuring a seamless user experience across desktops, tablets, and mobile phones. By adapting elements such as labels, tooltips, legends, and axes, they enhance readability, improve accessibility, and maintain consistent data presentation. These charts optimize performance by efficiently rendering content and supporting interactive features like zooming, panning, and touch gestures. Developers use responsive charts in a wide range of applications, including financial reports, business intelligence dashboards, real-time monitoring systems, and interactive analytics tools, providing users with clear and accessible insights regardless of their device.

Several React charts offer responsive chart support, including:

  • DevExtreme Chart (part of DevExtreme Complete by DevExpress) lets you build fully responsive, interactive charts with adaptive rendering for any device.
  • Highcharts Core by Highsoft provides feature-rich, responsive charts with real-time updates, advanced interactivity, and extensive customization for data-driven applications.
  • KendoReact Chart (part of KendoReact by Telerik) enables responsive, high-performance visualizations with adaptive layouts and built-in accessibility for modern web apps.
  • Ignite UI for React Chart (part of Infragistics Ignite UI) facilitates responsive, touch-friendly charts with high-speed rendering, rich interactivity, and flexible styling.

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

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Esplora set di dati complessi con un rendering 3D preciso

Marzo 14, 2025
Sblocca informazioni e modelli più approfonditi con la visualizzazione dei dati 3D nei grafici di superficie interattivi per un'analisi più chiara e informata.

Surface charts are 3D visualizations that show relationships between three numerical variables as a continuous surface. They help identify trends and optimal values, making them useful in science, engineering, and business. Common uses include topographical mapping, financial modeling, and performance analysis. For example, businesses can use surface charts to analyze how price and demand affect revenue, helping them find the best price point. By displaying data in three dimensions, surface charts reveal insights that may not be clear in 2D charts.

Several JavaScript chart controls offer support for Surface charts, including:

  • jChartFX Plus by Software FX lets you create interactive surface charts, enabling smooth 3D visualization for data analysis in business, finance, and engineering.
  • AnyChart JS allows you to generate customizable surface charts, helping visualize complex datasets with smooth shading, gradients, and real-time interactivity.
  • LightningChart JS facilitates ultra-fast surface chart rendering, ensuring high-performance 3D data visualization for scientific modeling, simulations, and financial analytics.
  • TeeChart JS by Steema Software provides powerful surface charting capabilities, allowing detailed 3D data exploration with multiple series, color gradients, and customization.

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

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Implementa la formattazione in base alle impostazioni locali nei grafici

Marzo 10, 2025
Highcharts v12 aggiunge un lang.locale per abilitare la formattazione regionale di data e numero, impostando, nel caso in cui non sia definita, la lingua del browser come predefinita.

Highcharts is a JavaScript charting framework that allows web developers and data analysts to generate dynamic, visually appealing charts and graphs for websites and web applications. It can display a variety of chart types, including line, spline, area, column, bar, pie, scatter, and many more. Highcharts is well-known for its ease of use, rich documentation, and ability to handle huge datasets efficiently. Features include responsive design, accessibility support, and cross-browser compatibility. Its customization capabilities allow users to create bespoke data visualizations that increase engagement and provide insightful data presentations.

Highcharts v12 introduces the lang.locale option, enabling locale-aware formatting for dates and numbers in charts. This option allows you to define the locale for all charts on a page or set it individually per chart. If no locale is specified, the chart automatically defaults to the page’s or browser’s language settings. Utilizing the browser’s Intl object, lang.locale ensures that dates and numbers are formatted correctly, not only replacing elements like month and weekday names but also structuring entire date expressions according to the selected locale. For instance, American English (en-US) formats a date as January 1, 2025, while British English (en-GB) displays it as 1 January 2025.

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

Highcharts Core is licensed on an annual or perpetual basis, OEM licenses, and Advantage Renewals. It is licensed per Developer and has several license options including Internal, SaaS, SaaS+, and Self Hosted. See our Highcharts Core licensing page for full details.

Learn more on our Highcharts Core product page.

Migliora le previsioni con gli indicatori tecnici

Marzo 3, 2025
Migliora l'analisi finanziaria con indicatori avanzati che identificano le tendenze, misurano il momentum, analizzano la volatilità e ottimizzano il tempismo delle operazioni.

Indicators in a financial chart are mathematical formulas applied to market data, such as price and volume, to generate insights into trends, momentum, volatility, and trade opportunities. Indicators are visualized as lines, histograms, or overlays on the chart, providing dynamic analysis rather than static points. Moving averages track price trends with smooth lines, while oscillators like RSI appear as separate graphs to measure momentum. These tools help traders analyze patterns, confirm price movements, and support decision-making. For software developers, integrating indicators enhances data visualization, enables algorithmic trading strategies, and improves user experience by delivering clear, actionable insights.

Several Angular charting components provide support for indicators within financial charts, including:

  • Highcharts Stock by Highsoft lets you visualize financial indicators with dynamic charts, including trendlines, moving averages, and technical overlays.
  • Ignite UI for Angular Chart (part of Infragistics Ignite UI) enables real-time market analysis with built-in financial indicators, enhancing data-driven insights and decision-making.
  • Syncfusion JavaScript Chart (part of Syncfusion Essential Studio Enterprise) supports financial indicators for interactive analysis of trends, momentum, and volatility.
  • AnyStock JS by AnyChart facilitates advanced financial charting with a wide range of indicators, helping users analyze market trends and price movements efficiently.

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

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Visualizza dati complessi con il rendering WebGL

Febbraio 27, 2025
LightningChart Python fornisce una visualizzazione in tempo reale accelerata da GPU per dashboard dinamiche, simulazioni scientifiche e analisi finanziarie.

LightningChart Python is a newly released 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. 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.

By offloading rendering to the GPU, LightningChart Python enhances responsiveness, minimizes CPU load, and ensures seamless interaction with complex datasets. Its advanced charting capabilities support real-time monitoring, heatmaps, scatter plots, and dynamic surface charts, delivering the speed, precision, and scalability required for data-intensive applications.

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.