Struggling to choose between Coverity Scan and Semgrep? Both products offer unique advantages, making it a tough decision.
Coverity Scan is a Development solution with tags like static-analysis, defect-detection, security, open-source.
It boasts features such as Static analysis to find defects in C/C++ and Java code, Integrates with GitHub and Travis CI for easy scanning of open source projects, Provides detailed reports on issues found including code snippets and severity, Can scan code before check-in with a plugin for developers, Has high accuracy with low false positive rates and pros including Free for open source projects, Finds critical security vulnerabilities, Easy to set up and use, Detailed and actionable reports, High quality results.
On the other hand, Semgrep is a Development product tagged with static-analysis, pattern-matching, vulnerability-detection.
Its standout features include Pattern matching to find bugs and vulnerabilities, Supports many languages like Python, Java, JavaScript, Go, etc, Can detect SQL injections, hardcoded credentials, use of weak crypto APIs, Integrates with CI/CD pipelines, Can be run locally or hosted on cloud platforms, Open source and free for individual developers, and it shines with pros like Finds security issues without needing to run code, Much faster than traditional SAST tools, Easy to write new rules/patterns, Great for enforcing code standards.
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.
Coverity Scan is a free static analysis service for open source projects to detect critical software defects and security vulnerabilities. It is easy to use and provides high quality results.
Semgrep is an open-source tool for detecting bugs and security vulnerabilities in source code using pattern matching. It works by scanning codebases to find instances where code matches predefined patterns that correspond to vulnerabilities or errors.