A UITextView subclass that provides real-time text suggestions for email domains, hashtags, and @handles in iOS apps.
ARAutocompleteTextView is an iOS library that extends UITextView to provide real-time text suggestions. It solves the problem of repetitive typing in text fields by automatically completing email domains, hashtags, and @handles as users type, improving input speed and accuracy.
iOS developers building apps with text input fields, particularly those requiring email entry, social features with hashtags, or user mention systems.
Developers choose ARAutocompleteTextView for its seamless integration with standard UITextView, out-of-the-box support for common autocomplete patterns, and extensive customization options for unique use cases.
ARAutocompleteTextView is a subclass of UITextView that automatically displays text suggestions in real-time. This is perfect for automatically suggesting the domain as a user types an email address, #hashtag or @alexruperez.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Displays completion options instantly as users type with minimal latency, enhancing input speed and accuracy as highlighted in the Key Features section.
Supports email domains, hashtags, and @handles out of the box via ARAutocompleteManager, covering common use cases without additional setup.
Allows implementation of custom autocomplete logic through the ARAutocompleteDataSource protocol, enabling flexibility beyond built-in types as described in the Customization section.
Offers both fixed offset adjustments with autocompleteTextOffset and dynamic placement via subclassing, providing control over UI layout as detailed in the README.
Installation requires manually adding four specific files to the project, which is cumbersome compared to modern dependency managers like CocoaPods, despite CocoaPods badges being present.
Out-of-the-box autocomplete is restricted to email, hashtags, and @handles; custom implementations are needed for other types, adding development overhead as admitted in the Customization section.
Primarily written in Objective-C with Swift compatibility, which may not align with teams fully invested in Swift or newer iOS frameworks, and the library shows signs of age with no recent updates indicated.