Coveralls vs Codecov

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
Codecov icon
Codecov

Expert Analysis & Comparison

Struggling to choose between Coveralls and Codecov? 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, Codecov is a Development product tagged with code-coverage, testing, cicd.

Its standout features include Code coverage reports, Branch coverage tracking, Pull request comments with coverage diffs, Customizable coverage thresholds, Badge widgets, Coverage change alerts, and it shines with pros like Free for open source projects, Easy integration with CI/CD pipelines, Detailed code coverage insights, Customizable and flexible configuration, Great for improving test quality.

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 Codecov?

When evaluating Coveralls versus Codecov, 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 Codecov have established themselves in the development market. Key areas include ruby, javascript, python.

Technical Architecture & Implementation

The architectural differences between Coveralls and Codecov 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 code-coverage, testing.

Decision Framework

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

Feature Coveralls Codecov
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

Codecov
Codecov

Description: Codecov is an open source code coverage monitoring tool for software development. It integrates with CI pipelines to track how much of the code is executed during tests, helps developers improve test quality, and provides code coverage trends/statistics.

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
Codecov
Codecov Features
  • Code coverage reports
  • Branch coverage tracking
  • Pull request comments with coverage diffs
  • Customizable coverage thresholds
  • Badge widgets
  • Coverage change alerts

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
Codecov
Codecov
Pros
  • Free for open source projects
  • Easy integration with CI/CD pipelines
  • Detailed code coverage insights
  • Customizable and flexible configuration
  • Great for improving test quality
Cons
  • Can be complex to set up initially
  • Limited features on free tier
  • Only supports a few languages out of the box

Pricing Comparison

Coveralls
Coveralls
  • Free
  • Open Source
Codecov
Codecov
  • Free
  • Freemium
  • Open Source

Get More Information

Coveralls
Coveralls
Coveralls
Learn More About Coveralls
Codecov
Codecov
Codecov
Learn More About Codecov

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