Light-weight Client Promise wrap for raw http.request
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
Fast CSV parser
A lightweight, semantic grid framework
a neat logger for the command line
node-sass wrapper for thoughtbot's bourbon neat library
Static file serving and directory listing
Open Node Streams on demand.
PostCSS plugin that provides a semantic and fluid grid framework.
Pure Javascript implementation of WebCrypto API interfaces and Public Key Infrastructure for GOST algorithms (Russian Cryptographic Standards)
Beautiful 3D gradients for your website
NEAT — live semantic graph of a software system, queryable from AI agents over MCP. Install once, get the neat / neatd / neat-mcp CLIs.
A diff friendly cli input module. Made for usage with neat-log and ansi-diff-stream
Linter for consistent directory and file naming.
Include neat in an ember-cli app
Markwhen parser
Make a color-coded stack trace from an error
Dependency-free distribution of EJS without CLI
Claude Code skill drop-in for NEAT — wires the @neat.is/mcp server into Claude's MCP config
This package provides the list feature for Lexical.
Fast and simple TAP parser.
Javascript implementation of the L-diggity.
Converts loopback models into a json schema model file
An easy-to-use date picker for React Native
A fluid grid framework written with SCSS & Compass Style, based on Susy (http://susy.oddbird.net) & Neat (http://neat.bourbon.io/).
Removing the cruft, bringing the HTTP method to the forefront and sporting a neat DRYing block syntax--FancyRoutes is a layer on top of the Rails routing system which provides an elegant API for mapping requests to your application's controllers and actions.
RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby. By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm, populations of neural nets are evolved to handle pre-defined goals. RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and it leverages Ruby's power to implement the NEAT algorithm in a way that would be difficult to do in other languages. The 'activation function' is largely standalone. Basically, activation is achieved by functional programming. Meaning, once your network is evolved, you can extract it as source code you can then utilize without the RubyNEAT engine. RubyNEAT can be used for nearly any Machine Learning task you can dream of, because it's also extensible and modular. See http://rubyneat.com for the details.
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