# How Codequiry can be utilized to identify instances of code plagiarism in open-source projects?
Codequiry can be utilized to identify instances of code plagiarism in open-source projects by following these steps:

**Indexing Open Source Code**

Unlike the **[Moss Code](https://codequiry.com/moss/measure-of-software-similarity)** detector, Codequiry maintains a database of code repositories, including popular open-source projects.

**Submission of Code**

Users can submit their code, as individual files or complete projects, to Codequiry for analysis. This can be done through the Codequiry web interface or by integrating Codequiry into the development workflow using its APIs or plugins.

**Similarity Analysis**

Codequiry performs a comprehensive similarity analysis by comparing the submitted code against the indexed open-source projects and other relevant sources. It identifies code segments or functions that exhibit similarity, regardless of variable renaming, whitespace changes, or other modifications.

**Visual Similarity Reports**

Codequiry generates visual similarity reports highlighting the sections of code that are similar to the code in the indexed open-source projects.

**Severity Analysis**

Codequiry provides a plagiarism severity analysis that categorizes the identified similarities based on their significance. This helps prioritize the review process, focusing on cases that require immediate attention.