A UITextField subclass for iOS that provides a drop-down autocomplete menu to reduce user typing effort.
MLPAutoCompleteTextField is an open-source iOS library that provides a UITextField subclass with built-in autocomplete functionality. It displays a drop-down menu of suggestions as users type, reducing typing effort and minimizing errors, especially for long or complex entries like chemical names. The library is designed to be easy to integrate and highly customizable for various iOS applications.
iOS developers building apps that require efficient text input, such as forms, search interfaces, or data entry screens where users might need to enter lengthy or precise strings.
Developers choose MLPAutoCompleteTextField for its simplicity, customization options, and performance—it offers a ready-to-use autocomplete solution without the boilerplate of implementing a search table view controller, and it handles large datasets asynchronously to maintain UI responsiveness.
UITextfield subclass with autocomplete menu. For iOS.
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As a UITextField subclass, it requires minimal setup—just implement the data source protocol to provide suggestions, making it a drop-in replacement for standard text fields.
Supports returning completions as strings or custom objects via the MLPAutoCompleteDataSource protocol, allowing flexible integration with various data models.
Uses multi-threaded sorting to keep the UI responsive, preventing main thread blocking even when handling large datasets, as noted in the Performance section.
Employs Levenshtein distance for string similarity, improving match accuracy over simple prefix matching, which is highlighted in the Notes section.
The author explicitly states being unable to continue work, and promised features like horizontal scrolling or tokenized bolding are unimplemented, risking obsolescence.
Although async, sorting performance suffers with 'ungodly amounts' of strings (thousands), forcing developers to pre-filter data, as admitted in the Performance notes.
Known issues include poor handling of clear color textfields and the need to manually hide/unhide the autocomplete table during rotation, adding complexity.