spectus VS PpSql

Compare spectus vs PpSql and see what are their differences.

spectus

Expectation library with RFC 2119's requirement levels 🚥 (by fixrb)
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spectus PpSql
1 -
11 259
- -
4.7 0.0
3 months ago over 1 year ago
Ruby Ruby
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

spectus

Posts with mentions or reviews of spectus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-20.

PpSql

Posts with mentions or reviews of PpSql. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning PpSql yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing spectus and PpSql you can also consider the following projects:

FactoryTrace - Simple tool to maintain factories and traits from FactoryBot

Spork - A DRb server for testing frameworks (RSpec / Cucumber currently) that forks before each run to ensure a clean testing state.

factory_bot - A library for setting up Ruby objects as test data.

Cutest - Isolated tests in Ruby.

Aruba - Test command-line applications with Cucumber-Ruby, RSpec or Minitest.

RSpec - RSpec meta-gem that depends on the other components

Knapsack - Knapsack splits tests evenly across parallel CI nodes to run fast CI build and save you time.

Test::Unit - test-unit

Bacon - a small RSpec clone

Pundit Matchers - A set of RSpec matchers for testing Pundit authorisation policies.

shoulda-matchers - Simple one-liner tests for common Rails functionality

RR - RR is a test double framework that features a rich selection of double techniques and a terse syntax. ⛺