Project
Reverse Dependencies for haml
The projects listed here declare haml as a runtime or development dependency
0.03
Provides a form helper to make it easy to make drag and drop file upload fields that work with Rails' Active Storage.
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0.03
Cards are wiki-inspired data atoms.Card "Sharks" use links, nests, types, patterned names, queries, views, events, and rules to create rich structures.
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0.03
Haml integration for Cells
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0.03
CoffeeFilter is a custom haml filter for rendering coffeescript inside your haml templates. It was inspired by Ivan Nemytchenko's coffee-haml-filter but I wanted an installable gem and coffeescript as the filter name.
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0.03
Deploy smart, not hard.
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0.03
Quickly build an online store with carts, orders, automatic email receipts and payment collection via Stripe, StripeConnect, PayPal and Moneris.
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0.03
Generates Sass-based Ext themes. Includes methods for colorizing themes.
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0.03
Provides useful helpers to map object with microdata types and display object's properties in view
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0.03
Next generation template language for fans of Haml and Markdown
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0.03
Find unused methods and classes/modules
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0.03
A mobile web application framework in Ruby
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0.03
Your summary here
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0.03
BackStage allows you to look behind the TorqueBox curtain, and view information about all of the components you have running. It includes support for remote code execution and log tailing to aid in debugging.
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0.03
Cucumber feature viewer and navigator
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0.03
wei-backend is a DSL for quickly creating weixin open platform backend system.
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0.02
A CLI to collect metadata about an applicaton on every run from the command line
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0.02
Almanac is the most elegant mountable blog engine that can be easily hooked up in the existing Rails application.
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0.02
batsd-dash - graphs and stuff for batsd. yay!
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BindLogAnalyzer analyzes a Bind query log file and stores its data into a SQL database using ActiveRecord. It provides a fancy web interface to show some query stats and graphs.
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0.02
Cabalist is conceived as a simple way of adding some smarts
(machine learning capabilities) to your Ruby on Rails models
without having to dig deep into mind-boggling AI algorithms.
Using it is meant to be as straightforward as adding a few
lines to your existing code and running a Rails generator or two.
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