Skip to main content

Python library for manipulating OpenType font features

Project description

fontFeatures library

If you're looking for the FEE language, it has been renamed to FEZ and moved to its own library (fez).

OpenType fonts are "programmed" using features, which are normally authored in Adobe's feature file format. This like source code to a computer program: it's a user-friendly, but computer-unfriendly, way to represent the features.

Inside a font, the features are compiled in an efficient internal format. This is like the binary of a computer program: computers can use it, but they can't do else anything with it, and people can't read it.

The purpose of this library is to provide a middle ground for representing features in a machine-manipulable format, kind of like the abstract syntax tree of a computer programmer. This is so that:

  • features can be represented in a structured human-readable and machine-readable way, analogous to the XML files of the Unified Font Object format.
  • features can be more directly authored by programs (such as font editors), rather than them having to output AFDKO feature file format.
  • features can be easily manipulated by programs - for example, features from two files merged together, or lookups moved between languages.

How is this different from fontTool's feaLib? I'm glad you asked. feaLib translates between the Adobe feature file format and a abstract syntax tree representing elements of the feature file - not representing the feature data. The AST is still "source equivalent". For example, when you code an aalt feature in feature file format, you might include code like feature salt to include lookups from another feature. But what's actually meant by that is a set of lookups. fontFeatures allows you to manipulate meaning, not description.

Components

fontFeatures consists of the following components:

  • fontFeatures itself, which is an abstract representation of the different layout operations inside a font.
  • fontFeatures.feaLib (included as a mixin) which translates between Adobe feature syntax and fontFeatures representation.
  • fontFeatures.ttLib, which translates between OpenType binary fonts and fontFeatures representation. (Currently only OTF -> fontFeatures is partially implemented; there is no fontFeatures -> OTF compiler yet.)
  • fontFeatures.fontDameLib which translate FontDame text files into fontFeatures objects.

And the following utilities:

  • otf2fea: translates an OTF file into Adobe features syntax.
  • txt2fea: translates a FontDame txt file into Adobe features syntax.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fontFeatures-1.7.0.tar.gz (82.6 kB view details)

Uploaded Source

Built Distribution

fontFeatures-1.7.0-py3-none-any.whl (103.4 kB view details)

Uploaded Python 3

File details

Details for the file fontFeatures-1.7.0.tar.gz.

File metadata

  • Download URL: fontFeatures-1.7.0.tar.gz
  • Upload date:
  • Size: 82.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for fontFeatures-1.7.0.tar.gz
Algorithm Hash digest
SHA256 a8d342d144f307309a5adce2dce4709ce693f35e68fc4d7b9a6e11bdc9d298f2
MD5 8382bfd911a6d3292b35aee5a0dacda1
BLAKE2b-256 37631edacf6cc2acd2ca13a7b09442e6d45df92b59ffc70d906d4ff7605c6d37

See more details on using hashes here.

File details

Details for the file fontFeatures-1.7.0-py3-none-any.whl.

File metadata

  • Download URL: fontFeatures-1.7.0-py3-none-any.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for fontFeatures-1.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a4dfac7e49303435990dca0df5572ec938383ddc2fa1ca236cec8b02ff7dd488
MD5 402b591445cf0dc7c0f680e5f3c09942
BLAKE2b-256 8992c3a828f6baa67f9bc50bff4a9a6d8ad36bc76322c939b6daa6f860871d34

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page