Coveralls vs OpenCov

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

Coveralls icon
Coveralls
OpenCov icon
OpenCov

Expert Analysis & Comparison

Struggling to choose between Coveralls and OpenCov? Both products offer unique advantages, making it a tough decision.

Coveralls is a Development solution with tags like ruby, javascript, python, php, c, objectivec, java, go, code-coverage, testing.

It boasts features such as Shows code coverage percentages and stats in GitHub UI, Integrates with Travis CI, CircleCI, Codeship, GitLab CI and more, Measures code coverage for Ruby, JavaScript, Python, PHP, C, Objective-C, Java, and Go projects, Open source tool for tracking code coverage over time and pros including Easy integration with popular CI tools, Good for monitoring code quality over time, Free and open source, Language-agnostic.

On the other hand, OpenCov is a Development product tagged with open-source, net, code-coverage, testing.

Its standout features include Provides statement, branch and method coverage metrics, Integrates with common .NET testing frameworks like NUnit, MSTest and xUnit, Generates coverage reports, Open source codebase, and it shines with pros like Free and open source, Integrates seamlessly with popular .NET testing frameworks, Provides detailed code coverage metrics.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Why Compare Coveralls and OpenCov?

When evaluating Coveralls versus OpenCov, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

Coveralls and OpenCov have established themselves in the development market. Key areas include ruby, javascript, python.

Technical Architecture & Implementation

The architectural differences between Coveralls and OpenCov significantly impact implementation and maintenance approaches. Related technologies include ruby, javascript, python, php.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include ruby, javascript and open-source, net.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between Coveralls and OpenCov. You might also explore ruby, javascript, python for alternative approaches.

Feature Coveralls OpenCov
Overall Score N/A N/A
Primary Category Development Development
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

Coveralls
Coveralls

Description: Coveralls is an open source tool for measuring code coverage in Ruby, JavaScript, Python, PHP, C, Objective-C, Java, and Go projects. It integrates with Travis CI, CircleCI, Codeship, GitLab CI and more to show code coverage percentages and stats right in the GitHub UI.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

OpenCov
OpenCov

Description: OpenCov is an open source code coverage tool for .NET that provides statement, branch and method coverage metrics. It integrates with common testing frameworks like NUnit, MSTest and xUnit to generate coverage reports.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

Coveralls
Coveralls Features
  • Shows code coverage percentages and stats in GitHub UI
  • Integrates with Travis CI, CircleCI, Codeship, GitLab CI and more
  • Measures code coverage for Ruby, JavaScript, Python, PHP, C, Objective-C, Java, and Go projects
  • Open source tool for tracking code coverage over time
OpenCov
OpenCov Features
  • Provides statement, branch and method coverage metrics
  • Integrates with common .NET testing frameworks like NUnit, MSTest and xUnit
  • Generates coverage reports
  • Open source codebase

Pros & Cons Analysis

Coveralls
Coveralls
Pros
  • Easy integration with popular CI tools
  • Good for monitoring code quality over time
  • Free and open source
  • Language-agnostic
Cons
  • Only shows line coverage, not branch coverage
  • Requires modifying build process to generate coverage data
  • May require tweaking configuration for each project
  • Not as full-featured as commercial alternatives
OpenCov
OpenCov
Pros
  • Free and open source
  • Integrates seamlessly with popular .NET testing frameworks
  • Provides detailed code coverage metrics
Cons
  • Limited to .NET ecosystem
  • Setup and configuration can be complex
  • Lacks some advanced features of commercial tools

Pricing Comparison

Coveralls
Coveralls
  • Free
  • Open Source
OpenCov
OpenCov
  • Open Source

Get More Information

Coveralls
Coveralls
Coveralls
Learn More About Coveralls
OpenCov
OpenCov
OpenCov
Learn More About OpenCov

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