Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Parasoft Reviews & Ratings
    4.6 out of 5 stars 152 Ratings
    Company Website for Parasoft
  • MuukTest Reviews & Ratings
    4.6 out of 5 stars 34 Ratings
    Company Website for MuukTest
  • QA Wolf Reviews & Ratings
    4.8 out of 5 stars 273 Ratings
    Company Website for QA Wolf
  • TrustInSoft Analyzer Reviews & Ratings
    4.3 out of 5 stars 6 Ratings
    Company Website for TrustInSoft Analyzer
  • Daylight Reviews & Ratings
    4.8 out of 5 stars 15 Ratings
    Company Website for Daylight
  • Healthee Reviews & Ratings
    4.6 out of 5 stars 13 Ratings
    Company Website for Healthee
  • Bluepear Reviews & Ratings
    4.8 out of 5 stars 74 Ratings
    Company Website for Bluepear
  • Google Cloud Run Reviews & Ratings
    4.5 out of 5 stars 349 Ratings
    Company Website for Google Cloud Run
  • TinyPNG Reviews & Ratings
    4.7 out of 5 stars 72 Ratings
    Company Website for TinyPNG
  • Docmosis Reviews & Ratings
    4.9 out of 5 stars 51 Ratings
    Company Website for Docmosis

What is SimpleCov?

SimpleCov is a Ruby-based tool utilized for analyzing code coverage, which utilizes Ruby's built-in Coverage library to gather data while presenting a straightforward API that aids in processing results by enabling filtering, grouping, merging, formatting, and effective display. While it is proficient in monitoring the covered Ruby code, it lacks support for popular templating systems such as erb, slim, and haml. For many projects, acquiring a holistic view of coverage outcomes across various testing types, including Cucumber features, is vital. SimpleCov streamlines this process by automatically caching and merging results for report generation, ensuring that the final report encapsulates coverage from all test suites, thus offering a more comprehensive overview of areas needing enhancement. To ensure accurate results, it is crucial to run SimpleCov within the same process as the code being analyzed for coverage. Furthermore, leveraging SimpleCov can significantly improve your development workflow by pinpointing untested code segments, ultimately fostering the creation of more robust applications. This tool not only aids in enhancing code quality but also promotes a culture of thorough testing in development teams.

What is Coco Code Coverage?

Coco by Qt is an advanced code coverage and test analysis platform designed for developers, QA engineers, and compliance leads building safety-critical or performance-sensitive software. Supporting C, C++, C#, QML, and Tcl, Coco measures coverage from statement and branch analysis to Modified Condition/Decision Coverage (MC/DC), giving a granular view of code quality and test completeness. It integrates seamlessly with IDEs like Visual Studio, Eclipse, and Qt Creator, as well as CI/CD tools such as Jenkins and CMake, enabling automated coverage feedback within existing workflows. Coco’s instrumentation engine works across desktop, embedded, and cross-compiled environments, supporting diverse toolchains like GCC, Clang, ARM, and Green Hills. The platform helps teams meet functional safety requirements under ISO 26262, DO-178C, EN 50128, and IEC 62304, with ready-to-use qualification kits that save months of manual certification work. Its Cross-Compilation Add-on enables coverage analysis on constrained systems and microcontrollers, while the Test Center integration consolidates coverage data and test results for a unified QA dashboard. By highlighting untested logic, redundant test cases, and compliance gaps, Coco reduces testing time while increasing accuracy. Its audit-ready reports and traceable artifacts make it indispensable for industries like automotive, medical devices, rail, and aerospace. Whether running on Windows, Linux, macOS, or real hardware, Coco ensures developers know exactly what’s tested—and what’s missed. In a world where software quality and certification matter more than ever, Coco helps teams measure, optimize, and certify with confidence.

Media

Media

Integrations Supported

Codecov
Cucumber
DeepCover
JSON
Mariner Financial Wellness
Ruby
UndercoverCI

Integrations Supported

Axivion Static Code Analysis
C
C#
FreeRTOS
Git
JUnit
Jenkins
Jira
NUnit
QML
SystemC
Tcl
TeamCity

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

SimpleCov

Company Location

United States

Company Website

github.com/simplecov-ruby/simplecov

Company Facts

Organization Name

Qt Group

Date Founded

1994

Company Location

Finland

Company Website

www.qt.io/quality-assurance/coco

Categories and Features

Code Coverage

Not specified

Categories and Features

Code Coverage

Not specified

Static Code Analysis

Not specified

Popular Alternatives

Popular Alternatives

BullseyeCoverage Reviews & Ratings

BullseyeCoverage

Bullseye Testing Technology
RKTracer Reviews & Ratings

RKTracer

RKVALIDATE
VectorCAST Reviews & Ratings

VectorCAST

VECTOR Informatik
Parasoft Reviews & Ratings

Parasoft

4.6 out of 5 stars