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====== Ginger

Ginger is a utility for quickly generating data-driven static sites.

Usage

To get started, just

$ cd some-project-directory
$ ginger new

This will create the barebones project template, which consists of:

  • _data - where you store any local data files
  • _drafts - where you keep any views you don't want in the final site
  • _includes - where jinja2 partials live
  • _layouts - where jinja2 site layouts live
  • _scss - check out ginger's super minimal scss
  • _views - this is where your view files will go
  • _css - this is where the outputted css will go
  • js - where scripts live
  • _config.yaml - set site title, layout style, etc. here

Ginger includes several examples to give you a feel for how things work. Edit these or nuke them and start from scratch.

Note - As a handy utility, we've included Swag by default. Swag is a collection of super useful template helpers to use in constructing views. Yeeeahhh!

For ginger to work properly, each view has to start with 'front matter'. If you've used Jekyll you already know how it goes. Basically, each view needs to start with a section like:

---
title: Top 20 Current NYTimes Best Sellers
id: best-sellers
description: The hardcover fiction list from the New York Times.
data_source: "/_data/nytimes_best_sellers.json"
---

All of the fields are required.

Once you've finished editing the view, run ginger build to generate your new site! Whoa! Or run ginger serve to build it and serve it locally! Even cooler! If you're using local data sources (ie, files stored in the _data directory) you will probably need to use ginger serve to preven cross-site-origin-policy errors in your browser.

Installation

To install Ginger, simply clone (or download the .zip) into a local directory and run python setup.py install. Voila!

About

Ginger was inspired by Github Jekyll and built by Scott Ogle and Nate Prewitt, using:

  • Cliff
  • Jinja2
  • Handlebars
  • Swag
  • Bootstrap
  • jQuery
  • Lodash
  • PyYAML
  • and Bootstrap

About

Static site generator for data-centric documents

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