Description:
As Kotlin Multiplatform gains traction in cross-platform development, it becomes imperative to extend its capabilities to support essential UI components. Currently, there is a lack of native support for Datagrids, a crucial component for displaying and managing tabular data efficiently.
Feature Request:
I propose the implementation of Datagrid support within Kotlin Multiplatform, enabling developers to create consistent and performant UIs across various platforms, including Android, iOS, and web. This feature would enhance productivity by providing a unified solution for handling tabular data, simplifying development efforts and improving the user experience.
Key Features:
Cross-platform compatibility: Datagrid support should seamlessly integrate with Kotlin Multiplatform projects, allowing developers to use the same codebase for different platforms.
Customization options: Provide APIs for customizing Datagrid appearance, behavior, and interactions to suit diverse application requirements.
Performance optimization: Optimize Datagrid implementation for efficient data rendering and smooth scrolling performance on all supported platforms.
Accessibility: Ensure compatibility with accessibility standards to enable users with disabilities to interact with Datagrids effectively.
Documentation and examples: Include comprehensive documentation and examples to guide developers in integrating and utilizing Datagrids within their Kotlin Multiplatform projects.
Additional Considerations:
Compatibility with existing Kotlin Multiplatform features and libraries.
Integration with popular UI frameworks such as Jetpack Compose, SwiftUI, and React Native.
Collaboration with the Kotlin Multiplatform community for feedback and contributions during development.
Continuous support and maintenance to address bugs and compatibility issues with future Kotlin and platform updates.
Description: As Kotlin Multiplatform gains traction in cross-platform development, it becomes imperative to extend its capabilities to support essential UI components. Currently, there is a lack of native support for Datagrids, a crucial component for displaying and managing tabular data efficiently.
Feature Request: I propose the implementation of Datagrid support within Kotlin Multiplatform, enabling developers to create consistent and performant UIs across various platforms, including Android, iOS, and web. This feature would enhance productivity by providing a unified solution for handling tabular data, simplifying development efforts and improving the user experience.
Key Features:
Cross-platform compatibility: Datagrid support should seamlessly integrate with Kotlin Multiplatform projects, allowing developers to use the same codebase for different platforms. Customization options: Provide APIs for customizing Datagrid appearance, behavior, and interactions to suit diverse application requirements. Performance optimization: Optimize Datagrid implementation for efficient data rendering and smooth scrolling performance on all supported platforms. Accessibility: Ensure compatibility with accessibility standards to enable users with disabilities to interact with Datagrids effectively. Documentation and examples: Include comprehensive documentation and examples to guide developers in integrating and utilizing Datagrids within their Kotlin Multiplatform projects. Additional Considerations:
Compatibility with existing Kotlin Multiplatform features and libraries. Integration with popular UI frameworks such as Jetpack Compose, SwiftUI, and React Native. Collaboration with the Kotlin Multiplatform community for feedback and contributions during development. Continuous support and maintenance to address bugs and compatibility issues with future Kotlin and platform updates.