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Wijmo by MESCIUS is a comprehensive JavaScript library offering a suite of high-performance UI components and data grids specifically designed to streamline the development of modern enterprise applications. It emphasizes reduced development time and improved maintainability, along with a focus on performance through its efficient design and small module size. Wijmo integrates seamlessly with popular JavaScript frameworks like Angular, React, and Vue.js, and supports cutting-edge technologies like TypeScript, making it a versatile solution for building complex web applications.
The Wijmo 2024 v2 update improves FlexGrid with the ability to freeze and pin columns to the right and rows to the bottom. Previously, freezing was limited to the left side for columns and the top for rows. Experience greater flexibility and improved data presentation with the ability to freeze cells in any direction. This feature streamlines data analysis by keeping critical rows and columns visible, enhancing usability and allowing users to focus on key information. With a more intuitive interface, users enjoy a seamless experience, leading to higher satisfaction and a more professional software tool.
To see a full list of what's new in 2024 v2 (Build 5.20242.21), see our release notes.
Wijmo is licensed per developer. Developer Licenses are perpetual and include 1 year Subscription which provides upgrades, including bug fixes and new features. See our Wijmo licensing page for full details.
Learn more on our Wijmo product page.
An area chart is a visualization tool that displays data as a filled area bounded by a line and the x-axis. It's particularly effective for illustrating trends and changes in data over time. By filling the area beneath the line, it visually represents the cumulative value of the data, making it easier to understand overall trends. This makes area charts ideal for visualizing metrics like sales over time, inventory levels, or stock prices.
Several Angular chart controls offer area charts including:
For an in-depth analysis of features and price, visit our Angular chart controls comparison.
The grouping/summary feature in grid controls enables users to categorize and analyze data effectively by grouping rows based on specific criteria. This functionality allows for the aggregation of data within each group, providing valuable summaries such as totals, averages, counts, and more. By organizing information in a more structured manner, users can gain deeper insights into trends, patterns, and outliers within their data. This feature is particularly useful for large datasets, financial reporting, and data analysis tasks that require a high level of customization and flexibility.
Several JavaScript Grid controls offer grouping / summary support including:
For an in-depth analysis of features and price, visit our comparison of JavaScript grid controls.
Menu controls are interactive elements within a user interface that allow users to access additional options or functions. These controls typically appear as buttons, drop-down lists, or context menus. They are widely used to organize and present complex functionalities in a structured and efficient manner, improving user experience and navigation.
Several Angular UI suites offer menu controls including:
For an in-depth analysis of features and price, visit our Angular UI suites comparison.
A time picker is an input component that provides users with the ability to edit or select a specific time value from a visual dropdown or input field, typically presented in the form of a clock face or a digital time display. This user interface element provides a standardized and intuitive method for capturing time input, ensuring that the data is consistent, accurate and correctly formatted. Particularly valuable in applications involving scheduling tools, booking systems or simply managing time-based data, it enhances the overall user experience and helps to ensure accurate and efficient data entry.
Several Angular data editor collections provide time picker components, including:
For an in-depth analysis of features and price, visit our comparison of Angular data editors.