Recipe Grid (v2)

Recipe Grid is a collection of standalone utilities and also a Python library for describing recipes in a tabular form, as illustrated by the following (rather tasty) recipe below for tiffin:

These recipes have several advantages over traditional recipe descriptions:

• Recipes are typically more concise.
• Ingredients and method are shown together so no need to cross-reference between the two.
• Parts of the method are never "hidden" in an ingredients list (e.g. '1 onion, finely chopped')
• Opportunities to reorder steps or do them in parallel (or not!) are easy to spot while still providing a suggested order.

Recipes are described in Markdown files using a convenient to write recipe description language. For example, the recipe above was generated from the following Markdown:

Tiffin
======

A delicious, chocolatey treat.

    6 tsp of cocoa powder
    2 tbsp of golden syrup
    1/2 cup of butter
    1/2 cup of sugar
    16oz of digestives
    200g of chocolate

    cover(
        mix(
            heat until bubbling (cocoa powder, golden syrup, butter, sugar),
            crush(digestives)
        ),
        melt(chocolate)
    )

Getting Started

You can install recipe grid from PyPI using:

$ pip install recipe_grid

Then head over to the tutorial or jump straight into the main documentation.

Development

Development dependencies, and an editable install can be setup using:

$ pip install -e .
$ pip install -r requirements-test.txt

Tests can be run using:

$ pytest

Other pre-commit hooks can be run using:

$ pre-commit run -a

And build the documentation using:

$ pip install -r requirements-docs.txt
$ make -C docs html

What about version 1?

Recipe Grid 2 is a rewrite/reimagining of its predecessor which ended up being one of those quick hacks which went on to live for a great many years. Recipe Grid 2's recipe format is not quite backward compatible but is largely a superset of the old format and upgrading existing recipes is not an arduous task.

Recipe Grid 2 has many additional features while retaining a very similar recipe description language. Key improvements include:

• More consistent recipe syntax and data model
• Recipes live within Markdown files
• Supports Directed Acyclic Graph (DAG) recipes; not just trees
• Can scale more than just ingredient quantities in a recipe
• Better error messages
• Fewer foot-guns
• Linter included to spot common errors

• Better HTML rendering

  • Improved readability
  • Includes mouseover unit conversions
  • Native serving counts and applied scaling more clearly indicated

• Better static sites

  • Links to alternative scaling of recipes
  • Browse without selecting a scale
  • Clearer navigation
  • Supports multiple levels of hierarchy
  • Supports custom messages on home and category pages
  • Much faster and more robust static site generator

• Extensive documentation
• Large test suite
• (Limited) Python API for parsing and inspecting recipes