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@stdlib/datasets-emoji-code-picto-cli

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@stdlib/datasets-emoji-code-picto-cli

Emoji codes and pictographs.

  • 0.1.0
  • Source
  • npm
  • Socket score

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2
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About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Emoji Codes and Pictographs

NPM version Build Status Coverage Status

Map emoji codes to pictographs.

Installation

To use as a general utility, install the CLI package globally

npm install -g @stdlib/datasets-emoji-code-picto-cli

Usage

Usage: emoji-code-picto [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.

Notes

  • Data is written to stdout as comma-separated values (CSV), where the first line is a header line.
  • In contrast to the programmatic interface, some codes are duplicated, due to the inclusion of both emoji and text presentation emoji characters.

Examples

$ emoji-code-picto
code,emoji
...

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.

See Also


Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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Copyright © 2016-2023. The Stdlib Authors.

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Package last updated on 23 Sep 2023

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