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Codecov VS OpenCover

Compare Codecov VS OpenCover and see what are their differences

Codecov logo Codecov

Develop healthier code using Codecov's leading, dedicated code coverage solution. Try it free

OpenCover logo OpenCover

OpenCover is a code coverage tool for .NET
  • Codecov Landing page
    Landing page //
    2023-10-07
  • OpenCover Landing page
    Landing page //
    2023-10-03

Codecov features and specs

  • Comprehensive Reporting
    Codecov provides detailed reports about code coverage, integrating seamlessly with various CI/CD pipelines to ensure thorough analysis and tracking.
  • Supports Multiple Languages
    The platform supports numerous programming languages and frameworks, making it versatile for diverse development teams.
  • Integration with Popular Tools
    Codecov offers integrations with popular development tools such as GitHub, GitLab, Bitbucket, and more, enabling easy setup and workflow automation.
  • Pull Request Comments
    Automatic comments on pull requests provide developers with insights on code changes and their impact on coverage directly within their development workflow.
  • Customization and Configuration
    Users can customize the reporting and analysis parameters to fit their specific needs, enhancing the relevance and usefulness of the coverage data.

Possible disadvantages of Codecov

  • Security Concerns
    In 2021, Codecov experienced a significant security breach, raising concerns about the safety and integrity of using the service.
  • Complex Initial Setup
    Some users find the initial setup and configuration to be complex and time-consuming, especially when integrating with multiple languages or large projects.
  • Performance Overhead
    Running Codecov can introduce some performance overhead during CI/CD processes, potentially slowing down the build and deployment times.
  • Pricing
    While there is a free tier available, some advanced features and larger project use-cases require a paid subscription, which may be expensive for small teams or individual developers.
  • Learning Curve
    New users may face a steep learning curve to fully utilize all of Codecov's features and capabilities, which can be a barrier to adoption.

OpenCover features and specs

  • Open Source
    OpenCover is an open-source tool, which means it is free to use and has a community of contributors who can help improve and maintain the software.
  • Comprehensive Coverage
    OpenCover provides detailed code coverage information for .NET applications, supporting both statement and branch coverage, which helps identify untested parts of your codebase.
  • Integration Capabilities
    It integrates well with continuous integration systems and build servers, making it a suitable choice for automated testing pipelines.
  • Support for Various Testing Frameworks
    OpenCover supports a wide variety of testing frameworks and can be used with popular tools like NUnit, MSTest, and xUnit, providing flexibility in your testing strategy.
  • Detailed Reporting
    Generates detailed XML reports that can be converted into human-readable formats using tools like ReportGenerator, providing insights into code coverage metrics.

Possible disadvantages of OpenCover

  • Windows Only
    OpenCover is limited to the Windows operating system, which can be a significant restriction for teams working with cross-platform environments.
  • Performance Overhead
    The tool can introduce performance overhead during test execution due to the instrumentation process, which might slow down testing in large projects.
  • Steep Learning Curve
    New users may find that setting up and configuring OpenCover to be complex, especially when dealing with specific options and integrating it with other tools.
  • Limited Community Support
    Despite being open-source, the community and support compared to more widely-used commercial tools may be limited, which could make troubleshooting more challenging.
  • Outdated Documentation
    The documentation for OpenCover may not be as up-to-date or comprehensive as needed, which can lead to difficulties in understanding configuration options and maximizing its use.

Codecov videos

Bring Codecov data to your next code review Sourcegraph Codecov extension

More videos:

  • Review - Codecov and CircleCI Orbs: Making Code Coverage Easy
  • Review - C++ Weekly - Ep 90 - Using Codecov and Project Badges

OpenCover videos

No OpenCover videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Codecov and OpenCover)
Code Coverage
74 74%
26% 26
Code Analysis
65 65%
35% 35
Code Quality
65 65%
35% 35
Development
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Codecov and OpenCover

Codecov Reviews

Top 11 SonarQube Alternatives in 2024
Codecov is a software tool that helps developers measure test coverage, analyze code performance, and improve code quality. It integrates with popular development tools and frameworks, providing insights into code coverage and performance metrics. By using Codecov, developers can make data-driven decisions to enhance the efficiency and effectiveness of their development...
Source: www.codeant.ai
11 Interesting Tools for Auditing and Managing Code Quality
Codecov is a comprehensive tool for managing code base as well as builds with a single utility. It analyses the pushed code, performs required checks, and auto-merges them if needed. Some of the more features listed below.
Source: geekflare.com

OpenCover Reviews

We have no reviews of OpenCover yet.
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Social recommendations and mentions

Based on our record, Codecov seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Codecov mentions (19)

  • How to get 100% code coverage? ✅
    First of all, we need to have a repository. You can use different services, but I will show you on GitHub. First, you will need to go to the site and register in a way convenient for you. After that, you will see a personal account like this:. - Source: dev.to / about 2 months ago
  • To Review or Not to Review: The Debate on Mandatory Code Reviews
    If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / about 1 year ago
  • DevOps CI/CD Quick Start Guide with GitHub Actions 🛠️🐙⚡️
    The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / over 1 year ago
  • Build an Open Source Project: Behind the Scenes
    Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / almost 2 years ago
  • CI CD strategies for UI apps and deployed services
    This YAML file details the CI implementation, including combined code coverage with CodeCov. For a simpler example without Cypress parallelization and code coverage, check the Github Actions YAML file of this template. The ideas presented here can be applied to any front-end application. - Source: dev.to / almost 2 years ago
View more

OpenCover mentions (0)

We have not tracked any mentions of OpenCover yet. Tracking of OpenCover recommendations started around Mar 2021.

What are some alternatives?

When comparing Codecov and OpenCover, you can also consider the following products

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

JaCoCo - JaCoCo is a free Java code coverage library.

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Istanbul - Code Coverage Tool - Istanbul is an all-javascript instrumentation library that tracks statement, branch, and function coverage.

Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.