Pros of Twemoji

• More extensive emoji set, including custom Twitter-specific emojis
• Higher resolution and more detailed designs
• Regularly updated to include new emoji standards

Cons of Twemoji

• Less consistent with system-native emoji designs
• May require additional licensing considerations for commercial use
• Larger file sizes due to higher resolution

Code Comparison

Twemoji (JavaScript):

twemoji.parse(document.body, {
    folder: 'svg',
    ext: '.svg'
});

Noto Emoji (CSS):

@font-face {
  font-family: 'Noto Color Emoji';
  src: url('NotoColorEmoji.ttf') format('truetype');
}

Summary

Twemoji offers a more extensive and visually detailed emoji set, making it ideal for web applications seeking a consistent cross-platform appearance. However, Noto Emoji provides better system integration and smaller file sizes, which can be advantageous for performance-critical applications. The choice between the two depends on specific project requirements, such as design consistency, performance needs, and licensing considerations.

Pros of emoji-data

• Provides a more comprehensive dataset, including metadata and variations
• Offers multiple image formats (PNG, SVG) and sizes
• Includes tools for parsing and processing emoji data

Cons of emoji-data

• Less focus on font creation and integration
• May require more processing to use in certain applications
• Not directly associated with a major tech company like Google

Code Comparison

noto-emoji:

def get_emoji_name(filename):
    return filename[:-4].replace('emoji_u', '')

emoji_names = [get_emoji_name(f) for f in os.listdir(PNG_DIR) if f.endswith('.png')]

emoji-data:

const emojiData = require('emoji-data');
const allEmojis = emojiData.all();
const emojiNames = allEmojis.map(emoji => emoji.short_name);

Summary

noto-emoji focuses on providing high-quality emoji fonts and images, primarily for use in Google products and Android devices. It offers a streamlined approach to emoji integration but may have a more limited dataset.

emoji-data, on the other hand, provides a rich dataset with extensive metadata and multiple image formats. It's more flexible for various applications but may require additional processing for font integration. The choice between the two depends on specific project requirements and the desired level of customization.

Pros of EmojiOne

• More extensive emoji set, including custom and branded emojis
• Regular updates with new emoji releases
• Offers both free and premium licensing options

Cons of EmojiOne

• Less integration with Google products and services
• May require additional setup for use in certain applications
• Potential licensing restrictions for commercial use

Code Comparison

Noto Emoji:

from PIL import Image, ImageDraw, ImageFont

font = ImageFont.truetype("NotoColorEmoji.ttf", 109)
image = Image.new("RGB", (128, 128), color="white")
draw = ImageDraw.Draw(image)
draw.text((0, 0), "😀", font=font, embedded_color=True)
image.save("noto_emoji.png")

EmojiOne:

const emojione = require("emojione");

let emojiString = "Hello, world! 👋🌍";
let convertedString = emojione.toImage(emojiString);
console.log(convertedString);

Both repositories provide emoji support, but their implementation and usage differ. Noto Emoji focuses on font-based rendering, while EmojiOne offers more flexibility in terms of image conversion and display options. The choice between the two depends on specific project requirements and integration needs.

Pros of fluentui-emoji

• More modern and visually appealing design style
• Offers multiple color variations for each emoji
• Includes both 3D and flat versions of emojis

Cons of fluentui-emoji

• Smaller overall emoji set compared to noto-emoji
• Less frequent updates and maintenance
• Limited support for older operating systems

Code Comparison

noto-emoji:

<glyph unicode="1f600" name="grinning_face">
  <outline>
    <contour>
      <point x="614" y="1229" type="curve" smooth="yes"/>
      <point x="614" y="1375"/>
      <point x="495" y="1494"/>
      <point x="349" y="1494" type="curve" smooth="yes"/>
    </contour>
  </outline>
</glyph>

fluentui-emoji:

<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
  <path d="M15.9989 29.9978C25.3333 29.9978 29.9978 23.7303 29.9978 15.9989C29.9978 8.26751 25.3333 2 15.9989 2C6.66443 2 2 8.26751 2 15.9989C2 23.7303 6.66443 29.9978 15.9989 29.9978Z" fill="url(#paint0_radial)"/>
  <defs>
    <radialGradient id="paint0_radial" cx="0" cy="0" r="1" gradientUnits="userSpaceOnUse" gradientTransform="translate(25.5 9) rotate(132.839) scale(37.5033)">
      <stop stop-color="#FFF478"/>
      <stop offset="0.474827" stop-color="#FFB02E"/>
      <stop offset="1" stop-color="#F70A8D"/>
    </radialGradient>
  </defs>
</svg>