Codacy vs DeepSource Analyzer: What are the differences?

# Key Differences between Codacy and DeepSource Analyzer

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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.