Description
Codequiry is a comprehensive platform designed to detect source code plagiarism and AI-generated code in programming assignments. It is widely used by universities and engineering teams to ensure academic integrity and originality in student submissions. Codequiry supports over 65 programming languages, including Python, Java, C++, JavaScript, and more, making it versatile for various educational and professional settings.
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The platform employs a multi-layered detection approach, comparing code against peer submissions, web sources like GitHub and Stack Overflow, and AI-generated content from tools such as ChatGPT and GitHub Copilot. This ensures a thorough analysis that traditional text-matching tools might miss. Codequiry integrates several detection engines, including MOSS, JPlag, Dolos, and its proprietary Hexagram and Zeus engines, providing a robust solution for identifying copied or AI-written code.
Codequiry offers different pricing plans tailored to individual instructors, small teaching teams, and large institutions. The Grow plan includes 10 web and AI checks per month, while the Advanced plan offers 50 checks and additional features like LMS integrations and customer support. The Defense plan is designed for enterprise use, providing 100 checks per month, dedicated servers, and priority support.
The platform is accessible via a web dashboard, desktop client, and API, allowing seamless integration into existing workflows. It also supports popular LMS platforms like Canvas and Moodle, making it easy for educators to manage and analyze student submissions. Codequiry's detailed reports highlight matched lines and provide evidence for academic integrity cases, helping educators make informed decisions.
- CategoryAI Code Review & Testing
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb, Desktop
Codequiry's Core Features
Source code plagiarism detection
AI-generated code detection
Supports 65+ programming languages
Integration with MOSS, JPlag, Dolos
Hexagram and Zeus detection engines
Web and peer submission comparison
LMS integrations
API and SDKs available
How to use Codequiry?
Sign up: Create an account on Codequiry
Upload: Submit code files for analysis
Analyze: Run plagiarism and AI detection checks
Review: Examine detailed reports and matched lines
Codequiry's Use Cases
- Academic Integrity
- AI Code Detection
- Peer Comparison
- Web Source Matching
- LMS Integration
