20 open-source projects similar to brew/opentype-feature-bundle, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Opentype Feature Bundle alternative.
This open source project is intended to be coupled with the AGL Specification, and provides the resources that it references.
brew tap bramstein/webfonttools brew install woff2
Up-to-date data on support for type and typographic features on the web.
Emojione is a cross-platform emoji set and image library designed to ensure visual consistency regardless of a user's operating system or device. It functions as an emoji replacement framework that substitutes standard unicode emojis with custom graphics in websites and applications. The project focuses on custom emoji rendering and web UI asset management to prevent mismatched styles across different platforms. By replacing native system emojis with specific image assets, it provides a controlled frontend user experience and maintains a standardized visual style. The framework employs asset
Font-Awesome-SVG-PNG
A book about how to design new typefaces with FontForge
Version control is keeping snapshots of a project at arbitrary points in time. There are multiple options to consider for version control: The simplest approach is just duplicating and dating files, or adding version numbers, but that can get quite messy and confusing.
Code examples from my TypoLabs Berlin 2016 workshop about font pens.
Simple, CSS utility classes for advanced typographic features. Falls back gracefully through feature queries. Less than 1.75kB gzipped. —@kennethormandy
Notes and tips for generating a simple variable font on a Mac. These assume you’re already familiar with the UFO format, creating masters that can be interpolated, and have some comfort using Terminal.
Find relevant emoji from text on the command-line :openmouth: :sparkles: :raisedhands: :horse: :boom: :seenoevil:
Twemoji is a library designed to provide consistent emoji rendering across different web browsers and operating systems. It functions by identifying and extracting Unicode emoji sequences from text and replacing them with standardized graphical assets, ensuring that symbols appear identical regardless of the underlying platform. The project distinguishes itself by offering a comprehensive toolkit that combines parsing logic with a library of scalable vector and rasterized image assets. This allows for the programmatic transformation of text into high-quality visual representations, supporting
Many special characters needed for good typography are hard to find, some are not even available on the keyboard at all. This workflow gives you access to these characters and pastes them right into your current application.