OpenCov vs Coveralls

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.

OpenCov icon
OpenCov
Coveralls icon
Coveralls

Expert Analysis & Comparison

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

OpenCov is a Development solution with tags like open-source, net, code-coverage, testing.

It boasts features such as 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 pros including Free and open source, Integrates seamlessly with popular .NET testing frameworks, Provides detailed code coverage metrics.

On the other hand, Coveralls is a Development product tagged with ruby, javascript, python, php, c, objectivec, java, go, code-coverage, testing.

Its standout features include 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 it shines with pros like Easy integration with popular CI tools, Good for monitoring code quality over time, Free and open source, Language-agnostic.

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 OpenCov and Coveralls?

When evaluating OpenCov versus Coveralls, 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

OpenCov and Coveralls have established themselves in the development market. Key areas include open-source, net, code-coverage.

Technical Architecture & Implementation

The architectural differences between OpenCov and Coveralls significantly impact implementation and maintenance approaches. Related technologies include open-source, net, code-coverage, testing.

Integration & Ecosystem

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

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between OpenCov and Coveralls. You might also explore open-source, net, code-coverage for alternative approaches.

Feature OpenCov Coveralls
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

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: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

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: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

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
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

Pros & Cons Analysis

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
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

Pricing Comparison

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

Get More Information

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

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