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Material UI Responsive Table

Read-only responsive table for Material UI

Material UI Responsive Table

Read-only responsive table for Material UI

Author Avatar Theme by local-insights
Github Stars Github Stars: 55
Last Commit Last Commit: Jan 4, 2019 -
First Commit Created: Jan 15, 2024 -
Material UI Responsive Table screenshot

Overview

The Material-UI Next Responsive Table package offers a sleek solution for displaying data in a user-friendly format, especially across different devices. This package stands out by providing a responsive table layout for desktop users while seamlessly shifting to an expandable list format on tablets and mobile devices. This adaptability ensures that your data is easily accessible, regardless of screen size.

With its straightforward installation and usage, the Responsive Table is perfect for developers looking to enhance their applications without compromising on user experience. Whether you’re displaying intricate datasets or simple lists, this package allows for customization and flexibility, making it a valuable addition to any Material-UI project.

Features

  • Responsive Design: Automatically adjusts between a traditional table for desktop and an expandable list for mobile and tablet devices, ensuring optimal viewing experiences.

  • Customizable Columns: Each column can be finely tailored with options for required IDs, headers, and custom rendering functions for cell values.

  • Expandable Summary: Offers the ability to define primary columns that appear in the summary view, which helps users quickly digest key information on mobile devices.

  • No Content Handling: Easily manage cases where no data is available with a customizable ‘No Content’ message, enhancing user communication.

  • MIT License: The package is open-source and licensed under the MIT License, ensuring flexibility for commercial or personal projects.

By focusing on these features, the Material-UI Next Responsive Table provides a robust framework for displaying data effectively across various devices, making it an excellent choice for developers looking to improve their data presentation.