Chartsのニュース

正確な3Dレンダリングで複雑なデータセットを探索

3月 14, 2025
インタラクティブなサーフェスチャートでの3Dデータ視覚化により、より深い洞察とパターンを解き放ち、より明確で情報に基づいた分析を実現

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.

Compare JavaScript Chart Controls

チャートでロケール対応フォーマットを実装

3月 10, 2025
Highcharts v12では、地域の日付と数値の書式設定を有効にするためにlang.localeが追加され、未定義の場合はブラウザの言語がデフォルトになります。

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.

テクニカル指標で予測を改善

3月 3, 2025
財務分析を強化し、トレンドの特定、モメンタムの測定、ボラティリティの分析、取引タイミングの最適化を行う高度な指標を提供

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.

  • 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.

Compare Angular Chart Components

WebGLレンダリングで複雑なデータを視覚化

2月 27, 2025
LightningChart Pythonは、動的ダッシュボード、科学シミュレーション、財務分析のためのGPUアクセラレーションによるリアルタイムの視覚化を提供

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.

データポイント間のバリエーションを視覚的に比較

2月 24, 2025
Angularアプリケーションに範囲棒グラフを装備すると、値の範囲を表示でき、価格などのメトリックの変動を視覚化可能

Range bar charts provide a way to visualize data that includes both minimum and maximum values. The bars displayed represent a value range, spanning between the minimum and maximum levels, rather than a single point. This type of chart makes it easier for users to compare variations across different categories or time periods, detect anomalies, and identify trends. This makes them particularly useful for scenarios where understanding variations within a range is important, such as stock price fluctuations, project timelines, or performance metrics. Their structured layout improves readability, making them a valuable tool in financial analysis, scheduling, and business intelligence applications.

Several Angular charting components provide you with range bar charts, including:

  • DevExtreme Chart (part of DevExtreme by DevExpress) allows developers to incorporate range bar charts into their Angular applications to effectively display data distributions.
  • Highcharts Stock by Highsoft supports Angular and provides interactive range bar charts, ensuring a seamless user experience when visualizing fluctuating values over time.
  • Kendo UI for Angular Chart (part of Kendo UI by Telerik) includes responsive, customizable range bar charts, enabling the clear visualization of minimum and maximum values.
  • Ignite UI for Angular Chart (part of Infragistics Ignite UI) facilitates the creation of dynamic range bar charts, ideal for Angular apps requiring variable data range monitoring.

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

Compare Angular Chart Components