Codacy vs Codecov

Overview

Codacy

Stacks313

Followers551

Votes248

Codecov

Stacks2.8K

Followers324

Votes102

Codacy vs Codecov: What are the differences?

Key Differences Between Codacy and Codecov

1. Integration with Version Control Systems:

Codacy provides seamless integration with popular version control systems such as GitHub, GitLab, and Bitbucket. It automatically analyzes code changes and provides continuous feedback on the quality of code. Codecov also offers integration with version control systems, but it requires manual configuration and setup.

2. Code Coverage Analysis:

Codacy focuses more on code quality analysis by providing features like code complexity, duplication analysis, and code metrics. It also offers code coverage analysis, but it is not as comprehensive as Codecov's code coverage analysis. Codecov specializes in code coverage analysis, providing detailed reports and metrics to evaluate the effectiveness of test suites.

3. Test Framework Compatibility:

Codacy supports various programming languages and test frameworks, making it easier to integrate into different projects. Codecov, on the other hand, primarily focuses on popular programming languages and commonly used test frameworks, which might limit its compatibility with certain projects.

4. Customizable Quality Profiles:

Codacy allows users to define custom quality profiles based on their specific requirements. This flexibility enables teams to enforce coding standards and practices that are applicable to their projects. Codecov, however, does not offer this level of customization and relies on predefined configurations.

5. Integrations with External Analysis Tools:

Codacy integrates with external analysis tools such as SonarQube and ESLint, providing a more comprehensive code analysis. Codecov does not have similar integrations and mainly focuses on code coverage analysis.

6. Pricing and Cost:

Codacy and Codecov have different pricing models. Codacy offers a range of pricing plans based on the number of users and repositories, while Codecov's pricing is based on the size of the repository and the number of users. The pricing structures and costs associated with each tool may vary, so it is essential to evaluate them based on individual project requirements and budget.

In Summary, Codacy offers a broader range of code analysis features, customizable quality profiles, and integrations with external analysis tools, whereas Codecov specializes in code coverage analysis and provides seamless integration with version control systems. The choice between the two depends on specific project needs and cost considerations.

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CLI (Node.js)

Manual

Advice on Codacy, Codecov

Felipe

May 24, 2020

Needs advice

My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container.
Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website.
This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage file from my docker container and get the coverage report with #Codecov.

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Comments

Detailed Comparison

Codacy	Codecov
Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.	Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
Available for cloud and self-hosted repositories;Static code analysis for +40 languages;Analysis for cloud infrastructure-as-code frameworks;Automatic analysis integrated in your CI;Code coverage tracking;Support for linter configuration files;1-click autofixes for GitHub;Static IP addresses for allowlisting Codacy;	Beautiful Reports;Pull Request Comments;Interactive Commit Graphs;Chrome Extension;Github Commit Status;Easy to Integrate;Hipchat Integration
Statistics
Stacks 313	Stacks 2.8K
Followers 551	Followers 324
Votes 248	Votes 102
Pros & Cons
Pros 45 Automated code review 35 Easy setup 29 Free for open source 20 Customizable 18 Helps reduce technical debt Cons 6 No support for private Git or Azure DevOps git	Pros 17 More stable than coveralls 17 Easy setup 14 GitHub integration 11 They reply their users 10 Easy setup,great ui Cons 1 GitHub org / team integration is a little too tight 0 Support does not respond to email 0 Delayed results by hours since recent outage
Integrations
GitHub GitLab Slack Bitbucket Jira	HipChat Jenkins Bitbucket GitLab GitHub CircleCI Heroku

What are some alternatives to Codacy, Codecov?

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Coveralls

Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth.

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

Related Comparisons

Codacy vs Codecov: What are the differences?

Key Differences Between Codacy and Codecov

1. Integration with Version Control Systems:

Codacy provides seamless integration with popular version control systems such as GitHub, GitLab, and Bitbucket. It automatically analyzes code changes and provides continuous feedback on the quality of code. Codecov also offers integration with version control systems, but it requires manual configuration and setup.

2. Code Coverage Analysis:

Codacy focuses more on code quality analysis by providing features like code complexity, duplication analysis, and code metrics. It also offers code coverage analysis, but it is not as comprehensive as Codecov's code coverage analysis. Codecov specializes in code coverage analysis, providing detailed reports and metrics to evaluate the effectiveness of test suites.

3. Test Framework Compatibility:

Codacy supports various programming languages and test frameworks, making it easier to integrate into different projects. Codecov, on the other hand, primarily focuses on popular programming languages and commonly used test frameworks, which might limit its compatibility with certain projects.

4. Customizable Quality Profiles:

Codacy allows users to define custom quality profiles based on their specific requirements. This flexibility enables teams to enforce coding standards and practices that are applicable to their projects. Codecov, however, does not offer this level of customization and relies on predefined configurations.

5. Integrations with External Analysis Tools:

Codacy integrates with external analysis tools such as SonarQube and ESLint, providing a more comprehensive code analysis. Codecov does not have similar integrations and mainly focuses on code coverage analysis.

6. Pricing and Cost:

Codacy and Codecov have different pricing models. Codacy offers a range of pricing plans based on the number of users and repositories, while Codecov's pricing is based on the size of the repository and the number of users. The pricing structures and costs associated with each tool may vary, so it is essential to evaluate them based on individual project requirements and budget.

Codacy vs Codecov

Overview

Codacy vs Codecov: What are the differences?