Best JavaScript Libraries for Windows of 2025 - Page 3

Interactive Gantt chart components and scheduling components, with project management features built in, are ready for the JavaScript Framework: Angular React Vue. This library was designed to empower businesses around the world. It was developed with common customer needs in mind. Companies of all sizes, governments, and educational institutions use it to create stunning Gantt charts with greater ease. This library is perfect for managing project schedules, tracking resources, or visualizing timelines. Gantt Chart Hyper Library includes -Gantt Chart view - hierarchical grid of data and attached schedule chart with drag-and-drop support and dependency lines. -Schedule View - Chart that displays multiple bars along the same line, with horizontal and vertical drag-and-drop support; -LoadChartView: allocation chart that displays normal and over-allocations on a timeline. -Network Diagram; Pert Chart

D3.js is a powerful JavaScript library designed for the dynamic manipulation of documents through data. By leveraging HTML, SVG, and CSS, D3 enables the transformation of data into engaging visual representations. Its focus on web standards allows developers to utilize the advanced features of modern web browsers without being restricted by a proprietary framework, merging robust visualization tools with a data-centric approach to DOM manipulation. With D3, users can associate any type of data with a Document Object Model (DOM) and perform data-driven alterations to that document. For instance, D3 can create an HTML table from a list of numbers or transform the same data into an interactive SVG bar chart that features smooth transitions and user engagement. Rather than being an all-encompassing framework that attempts to include every possible feature, D3 addresses the core challenge of effectively manipulating documents based on data. This strategy not only circumvents proprietary limitations but also provides remarkable flexibility, unlocking the full potential of web standards like HTML, SVG, and CSS. As a result, D3 becomes a versatile tool for developers seeking to create rich, interactive data visualizations that can adapt to a variety of use cases.

DevExpress UI components are designed to create elegant and high-impact user experiences that mimic the capabilities of the most popular business productivity apps. Our fully integrated suite of UI controls and reporting tools allows you to create high-performance analytics dashboards and decision support systems across all platforms and devices. DevExpress Reports are our royalty-free component library and reporting tool for the.NET ecosystem. DevExpress Reports include an intuitive Visual Studio report designer, runtime Report Designers for WinForms/WPF/Web and a rich set report controls, including cross tabs, charts and charts, so you and your users create reports of unparalleled elegance and informational clarity.

WebDataRocks is a user-friendly and free JavaScript library designed for the creation of efficient pivot tables, compatible with frameworks such as Angular, Vue, and React. It boasts several advantages, including being free of charge and highly customizable, as well as functioning as a JavaScript-based client-side component that can handle 1MB of JSON or CSV data files. Equipped with a comprehensive array of enterprise-level features, WebDataRocks seamlessly integrates with various third-party charting libraries to enhance data visualization capabilities. The library includes functionalities like filtering, sorting, grouping, conditional and number formatting, and calculated values, making it an effective tool for managing and analyzing data. Additionally, users can easily print or export their reports to formats like PDF, Excel, or HTML with just a single click, which streamlines the reporting process significantly. Offering a modern and aesthetically pleasing user interface similar to a spreadsheet, the tool is optimized for both web browsers and applications, ensuring a reliable and enjoyable user experience while working with data.