A JavaScript library providing a keyword-to-emoji mapping for making emoji searchable.
emojilib is a JavaScript library that provides a mapping from emoji characters to arrays of descriptive keywords. It solves the problem of making emoji searchable by associating each emoji with relevant terms like "happy", "face", or "smile". The library exports a simple object structure that can be easily integrated into applications needing emoji search or categorization features.
JavaScript developers building applications that require emoji search functionality, such as chat apps, content editors, or social platforms.
Developers choose emojilib for its minimal, focused approach to emoji keywords, its ease of integration, and its compatibility with more comprehensive emoji datasets like unicode-emoji-json for extended metadata needs.
Emoji keyword library.
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Provides a minimal mapping of emoji to keywords, as shown where '😀' maps to ['grinning_face', 'face', 'smile', ...], making it ideal for implementing search without bloat.
Exports a plain JavaScript object that can be easily required or imported, evidenced by the straightforward 'require("emojilib")' call in the README for quick setup.
Designed to merge seamlessly with unicode-emoji-json, as demonstrated in the migration guide where keywords are added to the comprehensive dataset for extended metadata.
Includes detailed migration examples for moving from 2.x, helping users transition by showing how to replace old features like 'ordered' with unicode-emoji-json data.
Only provides keywords, missing essential data like skin tone support and grouping, which the README admits are now in unicode-emoji-json, forcing reliance on another library.
The shift from 2.x removed features like 'fitzpatrick_scale_modifiers' and changed the structure, as shown in the migration guide, requiring significant updates for existing users.
It's just a dataset; developers must implement their own search algorithms, adding development overhead for those expecting a turnkey solution for emoji search.