DavidConradMcD / machine-learning-examplesView Project on Github
Indicates how healthy your codebase is. The higher the score, the better.
Cost of technical debt removal.
Equivalent engineering effort.
Code Distribution per Language. It helps you have an overview of what language is the most used in your project.
DISTRIBUTION OF VIOLATIONS PER CATEGORY
Distribution of the violations detected using static analysis tools per category. It helps to identify if there is a specific category where bugs are prevalent.
Prevalent CategoryError Prone
DISTRIBUTION OF VIOLATIONS PER SEVERITY
Distribution of the violations detected using static analysis tools per severity. A low severity means the violations is serious.
Functions that have more than 40 lines of code (SLOCS). Learn more about why long functions should be avoided.
Functions that have a a high cyclomatic complexity and are more likely to have bugs. Learn more about cyclomatic complexity.
Percentage of the code that is duplicated in the repository. Learn more about why code should not be duplicated.
Define you own rules. Codiga detects all the OWASP, CVE, and CWE vulnerabilities in less than 500ms.
All your public and private snippets and cookbooks in your desktop. Install the Codiga app for your prefered operating system.Get Code Snippets Manager