Capella-Scan is an open-source static analysis tool for source code. It can analyze code written in various languages like Java, C/C++, C#, JavaScript and more to find bugs, security vulnerabilities, code smells and other issues.
Identify bugs, security vulnerabilities, and code issues in various programming languages with Capella-Scan, a free and open-source static analysis tool.
What is Capella-scan?
Capella-Scan is an open-source static analysis tool used to analyze source code written in various programming languages like Java, C/C++, C#, JavaScript, TypeScript, Python and more. It can automatically scan code to identify bugs, security vulnerabilities, code smells and other quality issues without needing to execute the program.
Some key features and capabilities of Capella-Scan include:
Detection of common bug patterns like null pointer exceptions, resource leaks, race conditions etc.
Identification of security issues like SQL injection, cross-site scripting, insecure data exposure etc.
Checking code against security standards like OWASP Top 10 and CWE Top 25.
Analysis of code structure and design to spot code smells like too complex methods, duplicate code etc.
Calculation of code quality metrics like maintainability index, cyclomatic complexity etc.
Integration with IDEs and build tools for convenient usage directly while coding.
Customizable rules engine to write your own checks and rules.
Detailed reporting of identified issues.
Supports analysis of source code as well as compiled binaries like .jar, .class, .dll files.
Capella-Scan helps developers write safer, reliable and better quality code. Its ease of use, flexibility and integration capabilities make it a useful addition to any software project's quality toolchain.
Capella-scan Features
Features
Detects security vulnerabilities like SQL injections, cross-site scripting, etc
Supports multiple programming languages like Java, C/C++, C#, JavaScript, etc
Performs static analysis to find bugs and code smells without executing code
Integrates with build tools like Maven and Gradle
Provides customizable rules for analysis
Generates comprehensive reports on findings
Pricing
Open Source
Pros
Finds security issues and bugs early in development
Easy to integrate into CI/CD pipelines
Can analyze large codebases efficiently
Open source and free to use
Highly customizable analysis rules
Cons
May generate false positives requiring manual verification
Limited built-in support for some languages
Requires expertise to configure analysis rules and interpret results
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