A library for generating fake data such as names, addresses, and phone numbers.
- fake
- ruby
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A library for generating fake data such as names, addresses, and phone numbers.
A library for setting up Ruby objects as test data.
Catches mail and serves it through a dream.
Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.
Cucumber for Ruby. It's amazing!
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites
Library for stubbing and setting expectations on HTTP requests in Ruby.
A gem providing "time travel", "time freezing", and "time acceleration" capabilities, making it simple to test time-dependent code. It provides a unified method to mock Time.now, Date.today, and DateTime.now in a single call.
Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.
:chart_with_upwards_trend: The Rack Based A/B testing framework
Mutation testing for Ruby. AI writes your code. AI writes your tests. But who tests the tests?
Faker refactored.
Watir Powered By Selenium
🏥 A Ruby gem that helps you refactor your legacy code
A Ruby library for testing your library against different versions of dependencies.
A mocking and stubbing library for Ruby
RSpec tests for your AWS resources.
The instafailing RSpec progress bar formatter
Knapsack splits tests evenly across parallel CI nodes to run fast CI build and save you time.
Generate mocks from ActiveRecord models for unit tests that run fast because they don’t need to load Rails or a database.
RR is a test double framework that features a rich selection of double techniques and a terse syntax. ⛺
A trusty CLI companion to monitor file changes and automatically run the corresponding Ruby specs. Ready to assist on any Ruby project, no setup needed!
Run RSpec tests on multiple cores. Like parallel_tests but with incremental summarized output. Originally extracted from the Discourse and Rubygems source code.
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.