A beautiful and easy-to-use Material Design SearchBar library for Android apps.
MaterialSearchBar is an open-source Android library that provides a customizable, Material Design-compliant search bar component. It enables developers to quickly integrate a feature-rich search interface with support for text and voice input, search suggestions, and extensive styling options. The library solves the problem of building a consistent and interactive search UI from scratch, saving development time.
Android developers building apps that require a search functionality, particularly those aiming for a Material Design aesthetic. It's suitable for both Kotlin and Java projects.
Developers choose MaterialSearchBar for its ease of integration, adherence to Material Design standards, and high degree of customization. It offers a production-ready component with features like voice search and suggestion management out-of-the-box, reducing UI development overhead.
Material Design Search Bar for Android
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Implements Google's Material Design guidelines with pre-built styles like MaterialSearchBarLight and Dark, ensuring a consistent modern look without extra design work.
Includes speech mode enabled via mt_speechMode attribute, with callbacks like onButtonClicked for BUTTON_SPEECH to handle voice input, simplifying voice search implementation.
Offers numerous XML attributes and public methods to customize colors, icons, text, and behavior, as detailed in the README's attribute table and styling examples.
Provides methods like setLastSuggestions and getLastSuggestions for managing and persisting search history, with examples for saving to disk in onDestroy and restoring in onCreate.
Requires adding the JitPack repository to build.gradle, which may not be standard in all projects and can complicate dependency management compared to Maven Central.
The library is based on traditional XML layouts, with no mention of compatibility with Jetpack Compose, limiting its use in modern Android development trends.
Developers must manually handle saving and restoring search suggestions using getLastSuggestions and setLastSuggestions, as shown in the example, adding implementation overhead for state management.