Chartsのニュース

インタラクティブチャートズームでインサイトを発見

1月 16, 2026
重要なデータポイントをより詳しく検証し、見た目をわかりやすくし、最も複雑なデータセットでも正確なトレンド分析を可能に

Chart zooming allows users to interactively adjust the visible range of a chart to focus on specific data points, time periods, or value ranges for closer analysis. By enabling users to zoom in and out dynamically, it reduces visual clutter, improves clarity, and helps uncover trends, anomalies, or patterns that may be difficult to identify at a full-scale view. This interactive capability supports faster, more informed decision-making by allowing movement between high-level overviews and detailed insights without reloading data. Common use cases include analyzing financial performance over specific timeframes, investigating spikes or drops in operational metrics, reviewing detailed sensor or monitoring data, and highlighting key data segments during presentations or stakeholder reviews.

Several JavaScript chart controls support zooming including:

  • Highcharts Core lets you interactively zoom charts to explore dense datasets, isolate time ranges, and analyze trends with responsive controls.
  • KendoReact Charts (part of KendoReact by Telerik) allows you to zoom precisely, helping applications deliver clearer insights through focused data exploration.
  • AnyChart JS facilitates intuitive chart zooming, enabling users to examine detailed data segments while maintaining performance, flexibility, and visual clarity.
  • LightningChart JS lets you perform high-performance chart zooming for large-scale datasets, supporting real-time analysis with precision and responsiveness demands.

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

Compare JavaScript Charts

Windowsアプリ用に簡単に高度なチャートを作成

1月 13, 2026
Codejock Toolkit Proは、複雑なデータを明確で実践的なビジュアルインサイトに変換する柔軟なチャート作成および分析機能を提供

Codejock Toolkit Pro is a comprehensive suite of UI components designed to improve the development process and create visually appealing, feature-rich applications. The toolkit offers a wide range of controls, including calendars, charts, docking windows and more, each meticulously crafted to provide exceptional performance and customization options. With features like data binding, theming and localization, developers can easily integrate the toolkit into their projects and tailor the interface to meet specific requirements. The toolkit's versatility makes it suitable for various applications, from desktop software to web-based solutions, helping developers to deliver professional-grade user experiences.

Codejock Toolkit Pro delivers a comprehensive charting framework that enables software developers to visualize, analyze, and communicate complex data effectively within Windows applications. It supports a broad range of chart types, from standard bar and line charts to specialized financial, Gantt, and analytical visualizations, allowing developers to select the most appropriate format for each data scenario. The charting controls offer extensive customization over layout, styling, axes, labels, and interaction, making it possible to align visuals with application requirements and branding. With a well-structured API and proven performance, the framework reduces the need for custom charting logic, shortens development time, and helps ensure that data-driven features remain maintainable, consistent, and reliable over time.

Codejock Toolkit Pro is licensed per developer and is available as a perpetual license with 30 days or 1 year subscription (product updates and phone/email technical support). See our Codejock Toolkit Pro licensing page for full details.

For more information, visit our Codejock Toolkit Pro product page.

レンジチャートで値を明確に比較

1月 9, 2026
レンジエリアチャートで2つのデータポイント間のバリューバンドを可視化し、価格帯、予測、トレンドを明瞭化

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.

Compare React Chart Components

構造化されたDataGridで指標を明確に可視化

12月 30, 2025
LightningChart Python v2.1は、KPI、指標、セル内のビジュアルトレンドを一つの完全カスタマイズ可能なビューで提示する新しいDataGridを追加

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.

目標駆動型バレットチャートで進捗を表示

12月 18, 2025
予算、予測、実際の値をコンパクトな弾条図で比較することで、ばらつきを即座に見つけ、目標達成の進捗を明確に追跡可能

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