Psych is a YAML parser and emitter. Psych leverages libyaml[http://pyyaml.org/wiki/LibYAML] for its YAML parsing and emitting capabilities. In addition to wrapping libyaml, Psych also knows how to serialize and de-serialize most Ruby objects to and from the YAML format.

Skylight is a smart profiler for Rails, Sinatra, and other Ruby apps.

Psych is a YAML parser and emitter. Psych leverages libyaml[http://pyyaml.org/wiki/LibYAML] for its YAML parsing and emitting capabilities. In addition to wrapping libyaml, Psych also knows how to serialize and de-serialize most Ruby objects to and from the YAML format. This fork provides precise location information to Psych::Handler and Psych::Nodes::Node.

Standards-compliant WebSocket server and client

Parses SQL queries using a copy of the PostgreSQL server query parser

Simple wrapper around the pHash library

rbnacl with bundled libsodium

Provide useful tools to analyze seccomp rules. Visit https://github.com/david942j/seccomp-tools for more details.

a fast strptime/strftime engine which uses VM.

A friendly MySQL-compatible library for Ruby, binding to libtrilogy

ruby-opencv is a wrapper of OpenCV for Ruby. It helps you to write computer vision programs (e.g. detecting faces from pictures) with Ruby.

ruby-opencv is a wrapper of OpenCV for Ruby. It helps you to write computer vision programs (e.g. detecting faces from pictures) with Ruby.

ruby-opencv is a wrapper of OpenCV for Ruby. It helps you to write computer vision programs (e.g. detecting faces from pictures) with Ruby.

Oga is an XML/HTML parser written in Ruby.

Ruby binding for zstd(Zstandard - Fast real-time compression algorithm). See https://github.com/facebook/zstd

A Ruby client for the Cassandra distributed database.

A Ruby client for the Cassandra distributed database.

MessagePack is a binary-based efficient object serialization library. It enables to exchange structured objects between many languages like JSON. But unlike JSON, it is very fast and small.

A Ruby library for text classification featuring Naive Bayes, LSI (Latent Semantic Indexing), Logistic Regression, and k-Nearest Neighbors classifiers. Includes TF-IDF vectorization, streaming/incremental training, pluggable persistence backends, thread safety, and a native C extension for fast LSI operations.

A fast HTTP / Websocket Server with built-in Pub/Sub support (with or without Redis), static file support and many other features, optimized for Ruby MRI on Linux / BSD / macOS / Windows