Struggling to choose between Semmle and Codacy? Both products offer unique advantages, making it a tough decision.
Semmle is a Development solution with tags like security, vulnerability-scanning, static-analysis, code-quality.
It boasts features such as Code query language (QQL) to search codebases, Detects security vulnerabilities like SQL injections, XSS, etc, Identifies code smells and bugs, Integrates with CI/CD pipelines, Supports multiple languages like Java, C, C++, C#, JavaScript, Python, Provides graphical query explorer interface, Generates customizable code analysis reports and pros including Finds security flaws and bugs early in development, Easy to write custom queries with QQL, Scales to analyze large codebases, Great for ensuring code quality and standards.
On the other hand, Codacy is a Development product tagged with code-review, static-analysis, linting, security.
Its standout features include Static code analysis, Code coverage, Code duplication detection, Security vulnerability detection, Code quality monitoring, Integrations with GitHub, Bitbucket, GitLab, Customizable quality rules, and it shines with pros like Finds potential bugs and security issues, Enforces code quality standards, Easy to set up and integrate, Detailed reports on code issues, Can be customized to your needs.
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.
Semmle is an automated code analysis platform used to detect security vulnerabilities and quality issues in software code. It can analyze codebases written in multiple languages like Java, C, C++, C#, JavaScript, and Python.
Codacy is an automated code review tool that analyzes source code for bugs, security issues, code duplication, and code complexity. It integrates with GitHub, Bitbucket, and GitLab to perform analysis during code commits and pull requests.