Organise your Docker containers with muscle and intelligence

Serif is a static site generator and blogging system powered by markdown files and an optional admin interface complete with drag-and-drop image uploading.

Generating output is done in parallel using multiple tasks and lazy evaluation is used when serving pages locally for instant reloads when source content changes.

This tools allows you to use the visual Xcode editor to design your DataModels using the xcdatamodel format (originally designed for CoreData) but then generate the code for Realm.io models for Swift, Java & ObjC from that xcdatamodel. This way you can take advantage of the xcdatamodel visual editor and Xcode integration while using Realm instead of CoreData.

A Liquid filter that intelligently counts the number of words in a piece of HTML and estimates how long the text will take to read.

Automatically rebuild and preview TRNML plugins in multiple views

Videojuicer core-sdk

Effective Email Templates provides an admin access to modify email templates

Expressir ("EXPRESS in Ruby") is a Ruby parser for EXPRESS and a set of tools for accessing EXPRESS data models.

This is the basic module of Golden Cobra. It offers Devise, ActiveAdmin, an article module, a menu module and global settings for an CMS

Jekyll Asset Pipeline reborn adds asset preprocessing (CoffeeScript, Sass, Less, ERB, etc.) and asset compression / minification / gzip (Yahoo YUI Compressor, Google Closure Compiler, etc.) to Jekyll.

A simple Ruby gem to bring imgix to your Jekyll site.

A Jekyll filter that can parse Liquid in front matter.

Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculated (including extra provided weights), then if given accuraccy is lower than 1.0, LSI algorithm is used to compute new simplified vector space. Document correlation matrix is created using dot product of the matrix and its transpose. For each of the post' related documents are inserted into priority queue (sorted by score from document correlation matrix), assuming the score is greater than minimal required score. Selected few bests related posts are retrieven from the queue. Liquid template for each post is rendered and <related-posts /> is replaced with the outcomes of algorithm.

Landing page storage, rendering, tracking, and management API

Compose declarative, component-based responses to HTTP requests

Is that gem any good?

Working with Juptyer kernels

ActiveAdmin CMS extension

Alula creates higly optimised static blogs while taking all the complexity and repeated tasks away from you.