The Soft Assert gem enhances testing capabilities with flexible assertion methods.Unlike traditional assertions, Soft Assert does not interrupt test execution on failure. Instead, it logs errors and continues testing, allowing you to identify and review all failures simultaneously. This gem integrates smoothly with leading testing frameworks, including Minitest and Test::Unit, making comprehensive testing more efficient. To utilize Soft Assert effectively, simply use its assertion methods during testing. Then, conclude with SoftAssert.assert_all to review and fail the test if any failures were captured.

The solaris-file library provides Solaris-specific access control methods to the File class. It also provides methods for identifying trivial and door files, an interfaces for the resolvepath() function, and an overloaded ftype method.

The solaris-kstat library provides a Ruby interface for gathering kernel statistics from the Solaris operating system. Each matching statistic is provided with its module, instance, and name fields, as well as its actual value.

Be random. Be unpredictable. But only sometimes

Simple CLI tool to list open pull requests of a Github team.

Markdown generator from source code

seed data handling for Rails apps

Specification and base implementation of the Spark API parsing system.

A safepoint-based sampling performance profiler that uses thread CPU time deltas as weights to correct safepoint bias. Outputs pprof, collapsed stacks, or text report.

Spoonerize phrases from the command line. Comes with an API

Generates IIFE wrapper for Sprockets JavaScript files

A JRuby extension wrapping the latest spymemcached client (v2.12.1).

Download all PDFs linked in a Web page

Library for bibles as SQLite databases

The ssci_inc gem is a ruby gem used for submitting background check requests to SSCI

Generate and edit standups in markdown format

Fork of seuros/state_machine for use by DU

A gem that verifies the integrity of a state history

Statistics3 is a module that provides normal, Chi-square, t- and F- probability distributions for Ruby. It is a fork/continuation of Shin-ichiro Hara's original code. It provides a native, compiled extension and a pure Ruby implementation.

Simple way to increment counts and measure variance in timings of everything from requests per second to single espressos