Blocks gives you total control over how your blocks of code render.

Yet another approach to revisit the service object pattern in Ruby, but this time focusing on the unique, opinionated, moderately obtrusive, but not mandatory features.

Using gnuplot and Ruby's benchmarking abilities, see the asymptotic behavior of your functions graphed.

A simple Ruby library to check if a given string is present in a blacklist of 95,000 common passwords. This gem has been DEPRECATED; please switch to password_blocklist for continued support. See migration details in the README.

A simple Ruby library to check if a given string is present in a blocklist of common passwords. Defaults to a 95k password list, but different size lists can be selected.

Track your memory and time performance in console, csv and/or logs.

A utility to stream lines of a file over HTTP

Chinese tools for romanization conversions and other helpful string functions for Chinese.

AWS DynamoDB -Attribute Deserializer

Ruby Agent for the Baseline Red, APM.

Benchmark Sweet is a suite to run multiple kinds of metrics. It can be configured to run memory, sql query, and ips benchmarks on a common set of code. This data can be collected across multiple runs of the code, to support multiple ruby or gem versions. This also generates more complex comparisons

A framework for building interactive twitterbots which generate tweets based on pseudo-Markov texts models and respond to mentions/DMs/favs/rts.

File type identification library.

Simplify data imports and exports with this slick ActiveRecord extension

DistorteD UUID/GUID library

Adds memory reporting and rbtrace to gruf servers

Things

A Ruby library for writing GUI applications

Inuit - an HTTP client for Ruby

IrtRuby is a comprehensive Ruby library for Item Response Theory (IRT) analysis, commonly used in educational assessment, psychological testing, and survey research. Features three core IRT models: • Rasch Model (1PL) - Simple difficulty-only model • Two-Parameter Model (2PL) - Adds item discrimination • Three-Parameter Model (3PL) - Includes guessing parameter Key capabilities: • Robust gradient ascent optimization with adaptive learning rates • Flexible missing data strategies (ignore, treat as incorrect/correct) • Comprehensive performance benchmarking suite • Memory-efficient implementation with excellent scaling • Production-ready with extensive test coverage Perfect for researchers, data scientists, and developers working with educational assessments, psychological measurements, or any binary response data where item and person parameters need to be estimated simultaneously.