Software Alternatives & Reviews

JRay VS SimpleCov

Compare JRay VS SimpleCov and see what are their differences

JRay logo JRay

JRay is a real-time javascript code coverage tool.

SimpleCov logo SimpleCov

SimpleCov is a code coverage analysis tool for Ruby.
  • JRay Landing page
    Landing page //
    2023-08-06
  • SimpleCov Landing page
    Landing page //
    2023-08-06

JRay videos

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SimpleCov videos

Installing SimpleCov for test code coverage with RailsBytes

More videos:

  • Review - 6.8.1: Using SimpleCov to check C0 coverage

Category Popularity

0-100% (relative to JRay and SimpleCov)
Code Coverage
26 26%
74% 74
Code Quality
30 30%
70% 70
Code Analysis
30 30%
70% 70

User comments

Share your experience with using JRay and SimpleCov. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, SimpleCov seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JRay mentions (0)

We have not tracked any mentions of JRay yet. Tracking of JRay recommendations started around Mar 2021.

SimpleCov mentions (8)

  • Must-have gems for mature Rails
    Gem "simplecov" - https://github.com/simplecov-ruby/simplecov | Gather spec coverage stats locally and on CI, aim for those 90+%. - Source: dev.to / 3 months ago
  • My First Code Commit in Ruby
    My talk is about different best practices - specifically when adhering to them breaks down. One of those best practices is high test coverage. I start to work on the content for my presentation by building the code samples that I want to use in the slides. For the code coverage section, I'm writing some code with some tests. I'm using SimpleCov to generate code coverage results. - Source: dev.to / over 1 year ago
  • Improve Code in Your Ruby Application with RubyCritic
    SimpleCov - a tool to check Ruby application code coverage. You can configure it to run alongside your tests. It provides metrics on code coverage so that you can identify what you need to pay attention to and where to invest your time to create better test cases. - Source: dev.to / over 1 year ago
  • Paying Down Technical Debt
    Ensure that you have sufficient test coverage. You can use code coverage analysis tools like SimpleCov to gain insight into gaps in your coverage. - Source: dev.to / about 2 years ago
  • How to test all workers in one big loop?
    Simplecov might the answer you need, it generates a report of the lines of code your test suite hits. Source: over 2 years ago
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What are some alternatives?

When comparing JRay and SimpleCov, you can also consider the following products

Istanbul - Code Coverage Tool - Istanbul is an all-javascript instrumentation library that tracks statement, branch, and function coverage.

Codecov - Develop healthier code using Codecov's leading, dedicated code coverage solution. Try it free

JaCoCo - JaCoCo is a free Java code coverage library.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

dotCover - JetBrains dotCover is a .NET unit test runner and code coverage tool that integrates with Visual Studio.

Atlassian Clover - Atlassian Clover is a Java and Groovy code coverage tool.