A Go library and CLI for emoji lookup, search, and categorization with GitHub emoji support.
Turtle is a Go library and CLI tool that provides comprehensive emoji handling capabilities for developers. It allows programmatic lookup, search, and categorization of emojis with metadata including names, characters, categories, and keywords. The project solves the problem of managing emoji data in Go applications by providing a clean API and supporting the same emoji set used by GitHub.
Go developers who need to incorporate emoji functionality in their applications, particularly those building chat applications, social features, or content systems that require emoji support.
Developers choose Turtle because it provides a complete, well-documented solution for emoji handling in Go with GitHub compatibility out of the box. Unlike manual emoji implementations, it offers search, categorization, and a CLI tool in a single package.
Emojis for Go 😄🐢🚀
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Supports the same emoji set as GitHub's REST API, ensuring consistency for integrations. The README states it's based on the GitHub API documentation, making it ideal for GitHub-related projects.
Offers easy search by name, category, and keyword with functions like Search() and Category(). Examples in the README show flexible discovery, such as finding emojis with 'happy' as a keyword.
Includes a command-line interface for quick emoji queries without writing Go code. Installation instructions in the README allow separate CLI setup, adding versatility for non-programmatic use.
Provides clear reference documentation on GoDoc and usage examples in the README. This simplifies integration, as shown by the detailed code snippets for emoji lookup and filtering.
Emojis are hardcoded in a map based on emojilib, requiring library updates for new emojis. The README doesn't mention automatic syncing, so data can become outdated without maintainer intervention.
Only supports emojis available on GitHub, missing full Unicode standards like skin tone modifiers. This is acknowledged in the README, making it unsuitable for applications needing comprehensive emoji coverage.
Focuses solely on data retrieval without tools for emoji display or rendering issues. Developers must handle presentation separately, which can add complexity in UI-heavy applications.