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Codequiry: Code Plagiarism and AI Detection Software

Codequiry helps educational institutions and software companies verify that code submissions are original. It is designed for teams needing to detect AI-generated code or identify copied snippets from public repositories.

At a glance

Best for
Computer Science Professors, Technical Recruiters, HR Departments, Engineering Managers, Academic Institutions
Pricing
Pricing starts at $900 for a one-time Primo plan. Other tiers include Advanced ($2,300) and CQ Advanced ($2,800), with an optional CQ Go add-on available for $40/month.
Key use cases
Academic Integrity Monitoring, Technical Candidate Screening, AI Content Verification, Vendor Code Audits, IP Protection
Integrations
Canvas, Blackboard, Moodle
Official website
codequiry.com
Screenshot of codequiry website

Codequiry is a tool designed to detect plagiarism and AI-generated content within source code. It uses AST-based analysis to identify logical similarities even when variables have been renamed or code has been restructured.

The platform is intended for computer science educators, technical recruiters, and engineering leads who need to verify the integrity of code submissions. It scans against web sources, including GitHub and Stack Overflow, as well as internal peer groups.

It helps users identify whether code was written by a human, generated by AI tools such as ChatGPT and Claude, or copied from another student or public repository. The platform provides evidence through side-by-side comparisons and clustering graphs.

Buyers should confirm which plan they need, as certain engines and unlimited scanning options are available in the Advanced and CQ Advanced tiers.

Key Features

AI-Written Code Detection

Identifies patterns associated with AI assistants such as ChatGPT, GitHub Copilot, and Claude.

AST-Based Analysis

Uses Abstract Syntax Tree tokenization to find structural similarities, regardless of variable renaming or whitespace changes.

Web and Repository Scanning

Checks submissions against web sources, including GitHub, GitLab, and Stack Overflow.

Peer-to-Peer Comparison

Analyzes a group of submissions against each other to detect collaboration or collusion.

Side-by-Side Comparison

Provides a line-by-line diff viewer with syntax highlighting to compare matched code sections.

Base Code Detection

Supports the recognition and exclusion of starter code or templates to help reduce false positives.

REST API

Supports the integration of plagiarism detection into custom workflows or automation pipelines.

Use Cases

Academic Integrity Monitoring

Checking student programming assignments for plagiarism from peers or the web.

Technical Candidate Screening

Verifying the originality of take-home coding challenges during the hiring process.

AI Content Verification

Identifying if a submission was generated by an AI tool rather than written by a human.

Vendor Code Audits

Checking that code delivered by contractors or outsourced teams is original and not copied from public sources.

IP Protection

Scanning codebases for potential license violations or unauthorized use of web snippets.

Best For

Computer Science ProfessorsTechnical RecruitersHR DepartmentsEngineering ManagersAcademic Institutions

Integrations

CanvasBlackboardMoodle

Pricing

Pricing starts at $900 for a one-time Primo plan. Other tiers include Advanced ($2,300) and CQ Advanced ($2,800), with an optional CQ Go add-on available for $40/month.

FAQ

What programming languages does Codequiry support?

Codequiry supports over 60 programming languages, including Python, Java, C++, JavaScript, Go, and Rust.

Can it detect code written by AI?

Yes, it is designed to identify patterns from AI tools such as ChatGPT, Claude, and GitHub Copilot.

Does Codequiry integrate with Learning Management Systems?

Yes, it supports integration with Canvas, Blackboard, and Moodle.

Which plan is right for users needing unlimited scans?

Users requiring unlimited web, AI, and similarity scans should consider the CQ Advanced plan or the CQ Go add-on.

Source category: Software Development

Source subcategory: Code Analysis

Software Type:

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