Codecov 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.

Codecov icon
Codecov
Coveralls icon
Coveralls

Expert Analysis & Comparison

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

Codecov is a Development solution with tags like code-coverage, testing, cicd.

It boasts features such as Code coverage reports, Branch coverage tracking, Pull request comments with coverage diffs, Customizable coverage thresholds, Badge widgets, Coverage change alerts and pros including Free for open source projects, Easy integration with CI/CD pipelines, Detailed code coverage insights, Customizable and flexible configuration, Great for improving test quality.

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 Codecov and Coveralls?

When evaluating Codecov 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

Codecov and Coveralls have established themselves in the development market. Key areas include code-coverage, testing, cicd.

Technical Architecture & Implementation

The architectural differences between Codecov and Coveralls significantly impact implementation and maintenance approaches. Related technologies include code-coverage, testing, cicd.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include code-coverage, testing and ruby, javascript.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between Codecov and Coveralls. You might also explore code-coverage, testing, cicd for alternative approaches.

Feature Codecov 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

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: 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

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

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
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

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

Get More Information

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

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