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Codequiry
Advanced AI-Powered Code Plagiarism Detection

What is Codequiry?

Codequiry offers an industry-leading solution for detecting code plagiarism and ensuring the originality of programming assignments or professional code submissions. Powered by advanced AI algorithms, including proprietary Hexagram Tokenization, it rigorously analyzes code for similarities in logic and style—rather than cosmetic changes—across internal submissions and billions of public sources online.

Supporting over 50 programming languages, Codequiry provides educators and organizations with meaningful, reliable results through detailed reports, highlighted matches, cluster graphs, and confidence estimates. Its user-friendly interface, fast scanning times, and secure, encrypted environment make it a trusted choice for universities, enterprises, and coding competitions worldwide.

Features

  • AI-Based Detection: Utilizes proprietary algorithms that go beyond surface-level changes to identify logic and structural similarities.
  • Hexagram Tokenization: Advanced plagiarism detection technology to uncover nuanced cases of copied code.
  • Extensive Source Comparison: Checks submissions against over 20 billion lines of public and private code.
  • Multi-Language Support: Supports more than 50 programming languages, including auto-detect features.
  • Detailed Result Reporting: Visualizes code matches with cluster graphs, match tables, and highlighted snippets.
  • Peer-to-Peer Group Checking: Compares code within groups to detect internal similarities and collusion.
  • Web App Dashboard: Offers a secure, no-download-required platform for checking and reviewing submissions.
  • API and CLI Access: Flexible integration for automation and larger-scale institutional use.
  • Secure Data Handling: Ensures all uploads remain private, encrypted, and confidential.
  • Detection Confidence Levels: Provides estimated confidence percentages on originality of each submission.

Use Cases

  • Detecting plagiarism in student programming assignments for educational institutions.
  • Ensuring originality of source code in software development teams.
  • Verifying code authenticity during coding competitions or technical interviews.
  • Providing peer-to-peer similarity checks within group project submissions.
  • Auditing codebases for compliance and intellectual property protection.
  • Identifying use of AI-generated or copied code, including code written by ChatGPT.
  • Bulk scanning of code repositories for software companies.

FAQs

  • What programming languages does Codequiry support?
    Codequiry supports over 50 major programming languages, including Java, Python, C, C++, JavaScript, PHP, C#, TypeScript, and many others.
  • How does Codequiry handle data privacy?
    All uploaded files are encrypted, remain confidential, and are never added to the checking database; Codequiry’s analyses rely solely on publicly available content.
  • Can Codequiry detect code generated by AI such as ChatGPT?
    Yes, Codequiry includes dedicated features to detect and flag code that may have been generated by AI models such as ChatGPT.
  • Does Codequiry offer group similarity checking?
    Yes, Codequiry enables unlimited group similarity checking, allowing educators and teams to compare submissions within a group for internal similarities.

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