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jQWidgets is a comprehensive JavaScript UI framework offering a robust collection of over 60 widgets, themes, and utilities for building professional-grade, cross-platform web applications. Built on jQuery, HTML5, and CSS, it provides extensive functionality including data grids, charts, navigation, input validation, and more. jQWidgets simplifies web development, ensuring your applications work seamlessly across desktop browsers, tablets, and smartphones.
The jQWidgets 19.2 release adds the new jqxTimeline component. This allows for the visualization of events and activities in chronological order, aiding users in comprehending the flow and relationships between them. The timeline offers features such as chronological display, interactive elements for navigation and exploration, customizable styling for seamless application integration, support for rich content including text, images, and videos, and responsiveness for optimal viewing across various devices. These functionalities make the timeline component a valuable tool for applications in project management, historical references, education, and personal storytelling, by providing an engaging and clear way to present time-based information.
To see a full list of what's new in 19.2.0, see our release notes.
jQWidgets is licensed per developer and is available as a Perpetual license 1 year support and maintenance. See our jQWidgets licensing page for full details.
Learn more on our jQWidgets product page.

Trend lines are essential tools in data visualization and financial analysis, used to identify and interpret the direction and strength of trends in data sets. A trend line is a line that best represents the data on a chart, highlighting the general direction over a specified period. This is beneficial for making informed decisions, predicting future price movements, and validating the strength of ongoing trends. In stock market analysis, a trend line can help investors determine optimal entry and exit points, while moving averages can signal buy or sell opportunities, enhancing the effectiveness of trading strategies.
Several .NET WinForms chart controls offer trend lines and indicators including:
For an in-depth analysis of features and price, visit our comparison of .NET WinForms chart controls.

Developers can leverage drill down charts to create interactive data visualizations for exploring hierarchical information. These charts allow users to click on data points, drilling down to progressively more detailed breakdowns. This functionality is often paired with breadcrumb navigation, enabling users to easily track their exploration path and return to higher levels. Drill down charts empower users to gain deeper insights from complex datasets.
Several Blazor Chart controls offer drill down support including:
For an in-depth analysis of features and price, visit our Blazor Chart controls comparison.

A Kagi chart is a type of financial chart used to track price movements, with a focus on significant trends and reversals rather than minor fluctuations, to inform stock purchasing decisions. It features a series of vertical lines that reflect changes in price. The direction of these lines shifts only when the price moves by a predetermined amount, known as the reversal amount. Thin lines indicate that the price has fallen below the previous low while thick lines indicate that the price has surpassed the previous high. By filtering out minor price fluctuations it emphasises substantial price movements, offering a clearer perspective on market trends.
Several WinForms chart components provide Kagi charts, including:
For an in-depth analysis of features and price, visit our WinForms charts comparison.

CSV export functionality in Angular chart components enables users to download the data represented in chart form as a CSV (comma-separated values) file directly from Angular-based web applications. This feature is particularly useful for developers who need to provide end-users with the flexibility to manipulate, analyze, or store chart data independently from the web interface. By integrating CSV export, applications can enhance data accessibility and user satisfaction, allowing for data transfer and offline analysis. This functionality also supports better data management practices and can be vital in environments where data needs to be shared across different platforms or systems, thereby increasing the interoperability and practical utility of the application.
Several Angular chart controls offer export to CSV including:
For an in-depth analysis of features and price, visit our comparison of Angular chart controls.