Apps using TokenAutoComplete

TokenAutoComplete is a powerful and versatile open-source Android library designed to simplify the implementation of token-based autocomplete functionality in Android applications. This SDK offers developers a streamlined solution for creating intuitive and user-friendly input fields that support tokenization of text entries. TokenAutoComplete is particularly useful for scenarios where users need to input multiple items, such as tags, email addresses, or contact names, within a single text field. The library provides a customizable TokenCompleteTextView widget that extends the standard Android AutoCompleteTextView, enhancing it with token-based features. This widget allows developers to easily integrate token-based input into their applications, saving time and effort in implementing complex autocomplete functionality from scratch. TokenAutoComplete supports various customization options, enabling developers to tailor the appearance and behavior of tokens to match their app's design and requirements. One of the key features of TokenAutoComplete is its ability to handle both free-form text input and predefined suggestions. The library seamlessly combines these two input methods, allowing users to either select from a list of suggestions or enter custom text that can be converted into tokens. This flexibility makes TokenAutoComplete suitable for a wide range of use cases, from simple tagging systems to more complex contact selection interfaces. TokenAutoComplete also offers built-in support for token deletion, rearrangement, and editing. Users can easily remove tokens by tapping on them or using backspace, drag tokens to reorder them, and edit existing tokens with a simple tap. These intuitive interactions enhance the overall user experience and make token management effortless for end-users. The library provides robust customization options for token appearance, including the ability to set custom layouts for tokens and dropdown items. Developers can easily define the visual style of tokens, such as background color, text color, and padding, to ensure they match the app's design language. Additionally, TokenAutoComplete supports the use of custom objects as tokens, allowing for more complex data structures to be represented within the input field. TokenAutoComplete also includes features like token limiting, which allows developers to set a maximum number of tokens that can be added to the input field. This is particularly useful for scenarios where there are constraints on the number of items that can be selected or entered. The library also provides callbacks for various events, such as token addition, removal, and selection, enabling developers to implement custom logic based on user interactions with the tokens. Performance is a key consideration in the design of TokenAutoComplete. The library is optimized to handle large datasets efficiently, ensuring smooth scrolling and responsiveness even when dealing with extensive lists of suggestions. This makes TokenAutoComplete suitable for applications that need to handle large volumes of data, such as address books or product catalogs.

• TokenAutoComplete is an Android library designed to simplify the implementation of token-based autocomplete functionality in Android applications, providing developers with a powerful and customizable solution for creating user-friendly input fields.
• The library offers a seamless integration process, allowing developers to easily incorporate token-based autocomplete features into their existing Android projects without extensive modifications to their codebase.
• TokenAutoComplete supports both single and multi-token selection modes, enabling users to choose one or multiple items from a predefined list of suggestions, enhancing the flexibility and usability of the input field.
• The library provides built-in support for custom token layouts, allowing developers to define the appearance and structure of individual tokens to match their application's design requirements and branding guidelines.
• TokenAutoComplete offers smooth animations for token addition and removal, creating a visually appealing and intuitive user experience as tokens are inserted or deleted from the input field.
• The library includes intelligent text highlighting capabilities, automatically emphasizing matching portions of suggested items as users type, making it easier for users to identify and select relevant options quickly.
• TokenAutoComplete supports both static and dynamic data sources, allowing developers to populate the suggestion list with either predetermined options or dynamically fetched data from external sources such as APIs or databases.
• The library provides customizable filtering options, enabling developers to implement various matching algorithms or custom logic to filter and sort suggested items based on user input and specific application requirements.
• TokenAutoComplete offers built-in keyboard navigation support, allowing users to navigate through suggested items and select tokens using arrow keys and other keyboard shortcuts, improving accessibility and usability.
• The library includes a robust event handling system, providing developers with callbacks for various user interactions such as token selection, deletion, and text changes, enabling fine-grained control over the autocomplete behavior.
• TokenAutoComplete supports adaptive layouts, automatically adjusting the input field's size and appearance based on the number of selected tokens and available screen space, ensuring optimal display across different device sizes and orientations.
• The library offers seamless integration with existing Android UI components, allowing developers to easily combine TokenAutoComplete with other input fields, buttons, and UI elements to create cohesive and feature-rich user interfaces.
• TokenAutoComplete provides built-in support for token limit enforcement, allowing developers to set a maximum number of selectable tokens and automatically disabling further selections when the limit is reached.
• The library includes customizable token deletion options, enabling developers to implement various deletion mechanisms such as backspace key press, swipe gestures, or dedicated delete buttons for individual tokens.
• TokenAutoComplete offers robust error handling and input validation capabilities, allowing developers to implement custom validation logic and display error messages or visual indicators for invalid token selections or input combinations.
• The library supports token persistence, enabling developers to save and restore the state of selected tokens across app sessions or device rotations, ensuring a consistent user experience and preserving user input.
• TokenAutoComplete provides extensive documentation and code samples, making it easy for developers to understand and implement the library's features, as well as customize its behavior to suit specific application requirements.
• The library offers seamless integration with popular Android architecture components and design patterns, such as MVVM and data binding, enabling developers to incorporate TokenAutoComplete into their existing application architecture seamlessly.

• TokenAutoComplete is a powerful SDK for Android applications that provides an enhanced user experience when dealing with token-based input fields. One common use case for TokenAutoComplete is in email client applications, where users need to enter multiple recipient email addresses. The SDK allows for easy input and visual representation of email addresses as tokens, making it simpler for users to manage and review their recipient list.
• Another use case for TokenAutoComplete is in social media applications, particularly for tagging friends or mentioning users in posts. The SDK can be implemented to suggest and autocomplete usernames as the user types, presenting them as tokens that can be easily added or removed. This streamlines the process of mentioning multiple users and reduces the likelihood of typos or incorrect tags.
• E-commerce platforms can benefit from TokenAutoComplete when implementing product search functionality. As users enter search terms, the SDK can suggest relevant categories, brands, or product names, allowing for more precise and efficient product filtering. These suggestions can be presented as tokens, enabling users to quickly build complex search queries without the need for advanced search syntax.
• In project management tools, TokenAutoComplete can be utilized for assigning tasks to team members. As a user types a team member's name, the SDK can suggest matching names from the project's roster, presenting them as tokens. This feature simplifies the task assignment process and reduces errors in entering team member names.
• Content management systems can leverage TokenAutoComplete for managing tags and categories. When creating or editing content, authors can easily add multiple tags or categories to their posts, with the SDK providing autocompletion and token-based representation. This improves the organization and discoverability of content within the system.
• In travel booking applications, TokenAutoComplete can enhance the user experience when selecting multiple destinations for multi-city trips. As users enter city names, the SDK can suggest and autocomplete destinations, presenting them as tokens. This makes it easier for users to plan complex itineraries and reduces the chances of entering incorrect destination names.
• TokenAutoComplete can be particularly useful in music streaming applications for creating and managing playlists. Users can search for songs, artists, or albums, with the SDK providing suggestions and autocomplete functionality. Selected items can be represented as tokens, allowing users to quickly build and edit playlists with minimal effort.
• In healthcare applications, TokenAutoComplete can streamline the process of recording patient symptoms or diagnoses. Medical professionals can begin typing condition names, and the SDK can suggest matching terms from a standardized medical vocabulary. These suggestions can be presented as tokens, ensuring accurate and consistent data entry in patient records.
• For language learning applications, TokenAutoComplete can be implemented to help users construct sentences in the target language. As learners type words, the SDK can suggest grammatically correct continuations or related vocabulary, presenting them as tokens. This assists in sentence formation and expands the user's vocabulary in an interactive manner.

• TokenAutoComplete is a popular Android library for creating token-based autocomplete functionality in text fields, but there are several alternatives available for developers looking for different features or implementation styles. One such alternative is MaterialChipsInput, which offers a material design-inspired interface for creating chip-like tokens in input fields. This library provides smooth animations and a modern look that aligns well with Google's design guidelines.
• Another option is ChipsLayoutManager, which focuses on the layout and organization of chips or tokens within a RecyclerView. This library is particularly useful for scenarios where you need more control over how tokens are displayed and managed in a list-like format.
• For iOS developers, JSTokenField is a popular choice that provides similar functionality to TokenAutoComplete. It offers customizable token fields with autocomplete suggestions and smooth animations for adding and removing tokens.
• TagsEditText is another Android library that provides a simple and customizable way to implement tag or token input fields. It supports features like token deletion, customizable colors, and the ability to set maximum token limits.
• ReactTagInput is a React-based solution for web developers looking to implement token input fields in their applications. It offers a clean and modern interface with support for keyboard navigation and customizable styling.
• Choices.js is a vanilla JavaScript library that can be used to create token-based input fields along with other form input enhancements. It's lightweight and doesn't require any dependencies, making it a versatile choice for web projects.
• Select2 is a jQuery-based library that offers advanced select boxes with support for tagging and token-based input. It's highly customizable and works well for both single and multi-select scenarios.
• NgTagsInput is an AngularJS directive that transforms an input field into a tag editor, similar to TokenAutoComplete's functionality. It offers features like autocomplete, custom templates, and validation support.
• Vue Tags Input is a Vue.js component that provides token input functionality with autocomplete support. It's designed to be lightweight and easy to integrate into Vue.js projects.
• Tagify is a lightweight and versatile JavaScript library that transforms input fields or textareas into tag components. It offers features like autocomplete, custom templates, and drag & drop functionality for managing tokens.
• TokenInput is a jQuery plugin that provides autocomplete and token-based input functionality. It's been around for a while and offers a simple API for developers who prefer jQuery-based solutions.
• React-Select is a flexible and feature-rich select input control for ReactJS with support for multiselect, autocomplete, and custom styling. It can be configured to work as a token input field with autocomplete suggestions.
• Angular Material Chips is part of the Angular Material library and provides a material design-compliant implementation of chips or tokens. It integrates well with Angular's form controls and offers features like autocomplete and custom templates.
• Tokenfield for Bootstrap is a jQuery plugin that extends the functionality of Bootstrap's input fields to support token-based input. It's particularly useful for projects already using Bootstrap as their UI framework.
• Chosen is another jQuery-based plugin that enhances select boxes with search functionality and can be configured to work as a token input field. It's been widely used and has good browser compatibility.