Charts 新聞

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.

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.