Charts News

Compare Values Clearly with Range Charts

January 9, 2026
Gain financial insights with range area charts that visualize value bands between two data points, revealing price ranges, projections, and trends.

Range charts visualize financial data based on fixed price movements rather than time intervals, grouping activity into consistent ranges to highlight meaningful price action. By filtering out minor fluctuations and market noise, they make trends, volatility, support, and resistance levels easier to identify, especially in fast-moving or irregular markets. Common use cases include technical analysis for trading platforms, monitoring price volatility in equities or cryptocurrencies, and analyzing high-frequency financial data where understanding true market behavior is more important than tracking time-based changes.

Several React charting components provide you with range charts, including:

  • DevExtreme React Chart (part of DevExtreme Complete by Devexpress) lets you build financial range charts that emphasize price movement and support precise trend analysis.
  • amCharts 5: Charts facilitates creating interactive range charts that filter minor fluctuations and clearly expose underlying price trends effectively visually.
  • AnyChart JS lets you implement flexible range charts for financial dashboards, improving volatility analysis, pattern recognition, and decision-making accuracy speed.
  • Infragistics Ignite UI for React Chart (part of Infragistics Ignite UI) allows you to visualize range charts for volatile markets, revealing momentum and insights.

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

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Visualize Metrics Clearly in a Structured DataGrid

December 30, 2025
LightningChart Python v2.1 adds a new DataGrid that presents KPIs, metrics, and in-cell visual trends in a single, fully customizable view.

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 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 v2.1 update introduces a new DataGrid component that allows software developers to present metrics, KPIs, and trend information in a single, structured view, combining textual data, numeric values, and compact in-cell charts. By embedding visual context such as sparklines, markers, and thresholds directly within the grid, developers can deliver clearer, more actionable insights without relying on separate chart components. The DataGrid also provides extensive control over styling, enabling consistent integration with existing application designs while reducing the effort required to build and maintain custom data presentation solutions.

To see a full list of what's new in v2.1, 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.

Show Progress with Goal-Driven Bullet Charts

December 18, 2025
Compare budget, forecast, and actual values in a compact bullet chart to instantly spot variances and track progress toward targets with clarity.

Bullet charts are goal-oriented visualizations that compare actual performance against targets and benchmarks such as budget and forecast values in a single, easy-to-read view. They offer a clear alternative to gauges and meters by showing progress toward goals while making variances and shortfalls immediately obvious. By presenting multiple reference points together, bullet charts help stakeholders interpret performance quickly and consistently across metrics. Common use cases include financial reporting, sales and margin tracking, KPI dashboards, operational scorecards, and executive summaries where fast, reliable comparisons support better decision-making.

Several JavaScript chart controls offer bullet chart support including:

  • Highcharts Core by Highsoft lets you build bullet charts comparing performance against targets with interactive tooltips, responsive layouts, and customization.
  • KendoReact Charts (part of KendoReact by Telerik) allows you to render bullet charts, emphasizing KPIs, qualitative ranges, and accessibility-friendly components.
  • amCharts 5: Charts facilitates modern bullet charts with animated transitions, flexible axes, precise benchmarks, and theming for data-driven dashboards applications.
  • Syncfusion JavaScript Charts (part of Syncfusion Essential Studio Enterprise) lets you create bullet charts showcasing targets, ranges, and actuals.

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

Compare JavaScript Bullet Chart Controls

Add Clarity to Charts with Animated Transitions

December 15, 2025
Web Components charts with smooth animations make data changes easier to see and help users stay focused, even with complex visuals.

Animation in a Web Components Chart control refers to the visual transitions applied to chart elements as data is rendered, updated, or interacted with. It enhances the user experience by making changes in the data more perceptible and easier to follow, particularly when dealing with dynamic or real-time datasets. For developers, animation helps improve data readability and provides a more engaging and polished interface, especially when charts are updated frequently or involve user interaction. It also makes it easier for users to track what’s changed in the chart, even when the visuals are complex.

Several Web Components chart controls offer animation including:

  • Wijmo Web Components Chart (part of Wijmo Enterprise by MESCIUS) lets you animate chart updates smoothly, helping users clearly follow dynamic data transitions.
  • jQWidgets Chart facilitates animated rendering and transitions, making it easier to present changing data visually without overwhelming the user.
  • Ignite UI Web Components Chart (part of Infragistics Ignite UI) allows you to add refined animation effects, enhancing visual feedback during data changes.
  • ZingChart supports flexible animation options, enabling developers to create dynamic visualizations that respond intuitively to updates and user interaction.

For an in-depth analysis of features and price, visit our comparison of Web Components Chart Controls.

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Add Indicators to Highlight Trends in Blazor Charts

December 10, 2025
Enhance data interpretation by overlaying calculated trends and thresholds directly onto your visualizations.

Indicators in a chart component are visual tools used to represent specific statistical or mathematical calculations directly on the chart, often to highlight trends, patterns, or key thresholds within the underlying data. Common in financial and analytical applications, indicators can include elements like moving averages, Bollinger Bands, or threshold lines. For software developers, implementing indicators provides a powerful way to enhance data interpretation by allowing users to see meaningful context and actionable insights without needing to leave the chart interface. This improves decision-making and supports more interactive and informative visualizations across a wide range of use cases.

Several .NET Blazor charting controls support indicators including:

  • TeeChart .NET for Blazor by Steema Software lets you embed over 50 financial and statistical indicators directly into interactive Blazor charts.
  • NOV Chart for .NET by Nevron allows you to apply a full suite of financial, trend and statistical indicators on 2D/3D charts, supporting large‑scale data rendering.
  • Infragistics Ignite UI for Blazor Chart (part of Infragistics Ignite UI) lets developers overlay trend lines and data‑analysis overlays on its 65+ chart types.
  • Syncfusion Blazor Charts (part of Syncfusion Essential Studio Enterprise) allows integration of analytical overlays such as trendlines and reference markers to enrich chart data.

For an in-depth analysis of features and price, visit our comparison of .NET Blazor Chart Controls.

Compare .NET Blazor Chart Controls