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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Codacy vs DeepSource Analyzer

Codacy vs DeepSource Analyzer

OverviewComparisonAlternatives

Overview

Codacy
Codacy
Stacks313
Followers551
Votes248
DeepSource
DeepSource
Stacks16
Followers49
Votes8

Codacy vs DeepSource Analyzer: What are the differences?

# Key Differences between Codacy and DeepSource Analyzer

<Write introduction here>

1. **Language Support**: Codacy supports a broader range of programming languages including Java, JavaScript, Python, Ruby, Scala, Kotlin, and many more, whereas DeepSource Analyzer specializes in Python, Go, JavaScript, and TypeScript analysis.
   
2. **Integration Options**: Codacy provides integration with popular version control systems like GitHub, GitLab, and Bitbucket, offering seamless pull request comments and merging. On the other hand, DeepSource Analyzer offers integrations with GitHub and GitLab, focusing on automated code reviews and continuous code quality improvement.

3. **License Management**: Codacy offers features for managing open source licenses and ensuring license compliance within the codebase, whereas DeepSource Analyzer does not have specific tools for license management.

4. **Code Duplication Detection**: Codacy includes code duplication detection as a feature, allowing developers to identify and remove duplicates in their codebase efficiently. DeepSource Analyzer lacks this specific functionality, focusing more on code quality and performance issues.

5. **Customizable Code Patterns**: DeepSource Analyzer provides a feature-rich system for defining custom code patterns and rules according to the project's specific requirements, offering more flexibility in code review and quality enforcement compared to Codacy.

6. **Pricing Model**: Codacy offers a free tier for open-source projects with limited features, while DeepSource Analyzer focuses on providing a free trial for a limited period before transitioning to a paid subscription model for continued access to premium features.

In Summary, Codacy offers broader language support and license management features, while DeepSource Analyzer focuses on customizable code patterns, integration options, and code quality improvement tools.

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Detailed Comparison

Codacy
Codacy
DeepSource
DeepSource

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.

DeepSource helps developers ship clean and secure code with powerful static analysis, OWASP Top 10 reporting, and Autofix. Trusted by thousands of startups, enterprises, and Fortune 500 companies.

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;
Simple configuration; Continuous analysis; Fewer false-positives; Integration with existing tools; Know each issue in detail; Broad-spectrum of issue coverage.
Statistics
Stacks
313
Stacks
16
Followers
551
Followers
49
Votes
248
Votes
8
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
  • 3
    Free for open source
  • 3
    Easy setup and analysis
  • 2
    Autofixes for many lints for free
Cons
  • 1
    Test coverage % differs from actual
Integrations
GitHub
GitHub
GitLab
GitLab
Slack
Slack
Bitbucket
Bitbucket
Jira
Jira
Ruby
Ruby
Java
Java
C#
C#
Terraform
Terraform
Docker
Docker
Scala
Scala
GitHub
GitHub
JavaScript
JavaScript
GitLab
GitLab
Bitbucket
Bitbucket

What are some alternatives to Codacy, DeepSource?

Code Climate

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

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

PullReview

PullReview

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

Gerrit Code Review

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

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

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

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

ESLint

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

Amazon CodeGuru

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.

Reviewable

Reviewable

A code review tool for GitHub pull requests inspired by Google's internal tool. Powerful diffing and workflow features wrapped in a beautiful UI, with seamless GitHub integration. Free for public repos.

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