Professional code plagiarism detection for Python, Java, C++, JavaScript, and 50+ languages. Scan against GitHub, Stack Overflow, and billions of web sources.
Scan millions of public repositories
Search across the entire internet
Detect code from Q&A sites
Identify AI-generated code
Looking for the industry's most powerful code plagiarism checker? Codequiry is the premier MOSS alternative (Measure Of Software Similarity) for instantly detecting copied code, source code plagiarism, and code similarity. Whether you need to check programming assignments, verify student submissions, or detect code plagiarism from GitHub and Stack Overflow, our enterprise-grade plagiarism detector provides comprehensive instant results trusted by 300+ universities worldwide.
Unlike traditional plagiarism checkers that only compare student submissions against each other, Codequiry uses Triple Layer Detection to provide the most comprehensive code plagiarism analysis available. Our advanced system scans across three critical dimensions simultaneously, catching plagiarism that other tools completely miss.
Student-to-Student Comparison — Our algorithm compares every submission against every other submission in your class or assignment. Detect collusion rings, shared solutions, and copied code between students with advanced token-based matching that catches even heavily modified copies.
200 Billion+ Web Sources — The game-changer that separates Codequiry from MOSS, JPlag, and Dolos. We scan the entire internet including GitHub repositories, Stack Overflow answers, Chegg solutions, Course Hero, coding forums, tutorial websites, Pastebin, and personal blogs.
Detect AI-Generated Code — The newest and fastest-growing form of academic dishonesty. Our AI detection engine identifies code generated by ChatGPT, GitHub Copilot, Claude, Gemini, Grok, Cursor, Amazon CodeWhisperer, and other LLM-based code generators with 80-90% accuracy.
With the explosion of AI coding assistants like ChatGPT, GitHub Copilot, Claude, and Gemini, detecting AI-generated code has become critical for academic integrity. Codequiry's AI code detector uses advanced machine learning trained on millions of code samples to identify AI-written code with remarkable accuracy.
Trained on millions of code samples from GPT-4, Claude, Copilot, Grok, Gemini, and Cursor to reliably identify AI-generated patterns
Analyzes code entropy, comment patterns, error handling consistency, and stylistic uniformity that reveals AI authorship
Flags when submitted code doesn't match a student's established coding patterns from previous assignments
Detects attempts to disguise AI code through dead code insertion, variable renaming, and complex logic restructuring
At the heart of Codequiry's 99.7% accuracy is our proprietary Hexagram Tokenization™ technology. Unlike traditional tools that compare raw text, Hexagram uses 6-dimensional semantic analysis to understand what code actually does, not just what it looks like. This allows us to detect plagiarism even when students rename variables, reorder functions, add dead code, or employ sophisticated obfuscation techniques.
Using our enterprise code plagiarism checker is simple. Check code for plagiarism in just three easy steps:
Copy and paste the code you want to check for plagiarism into our online code editor. Our code plagiarism detector supports Python, Java, C++, C, C#, JavaScript, TypeScript, PHP, Ruby, Go, Rust, Swift, Kotlin, and 65+ programming languages.
Choose your programming language from the dropdown menu. Our plagiarism checker provides accurate code analysis with proper syntax highlighting for all major languages.
Click "Check for Plagiarism" and our Triple Layer Detection scans your code against peers, 1T+ web sources, and AI generation patterns. Get detailed similarity scores with source attribution.
Looking for a MOSS plagiarism checker alternative? While Stanford MOSS (Measure Of Software Similarity) was pioneering in 1994, it has significant limitations in 2024. Here's why educators worldwide are switching to Codequiry:
Our programming plagiarism checker is perfect for academic integrity. Students can check their programming assignments for unintentional plagiarism before submission, while teachers and professors can quickly detect code plagiarism, check source code similarity, and identify copied code from online sources. Our system checks against 200 billion+ web sources, GitHub repositories, Stack Overflow answers, and uses AI detection to catch AI-generated submissions.
Peer comparison + Web scanning + AI detection in one comprehensive analysis
Catch ChatGPT, Copilot, Claude, and other AI-written code with 80-90% accuracy
Python, Java, C++, JavaScript, TypeScript, Go, Rust, Swift, Kotlin, and more
Industry-leading accuracy trusted by 300+ universities worldwide
Catches variable renaming, code reordering, dead code insertion, and format changes
Visual comparison with highlighted matches and direct source links for evidence
Our code plagiarism checker supports 65+ programming languages and frameworks—more than any other tool including MOSS, JPlag, and Dolos. Check your code for plagiarism in Python, Java, C++, JavaScript, and many more:
Code plagiarism occurs when someone copies source code from another programmer, website, repository, or AI tool without proper attribution. In academic settings, code plagiarism in programming assignments is a serious violation of academic integrity. With the rise of AI coding assistants like ChatGPT and GitHub Copilot, detecting AI-generated code has become just as important as detecting copied code. Our code plagiarism detector with AI detection helps identify both copied and AI-written code by analyzing your source code against billions of sources and AI generation patterns.
Stanford MOSS (Measure Of Software Similarity) was pioneering when introduced in 1994, but it wasn't built for today's challenges. MOSS cannot detect code copied from GitHub or Stack Overflow. MOSS cannot detect AI-generated code from ChatGPT or Copilot. MOSS requires command-line submission and email-based results. Codequiry is the premier MOSS alternative offering instant web-based plagiarism detection, real-time results, intuitive interface, web-scale scanning, AI code detection, and support for 65+ programming languages. Experience enterprise-grade plagiarism detection without the limitations of 1994 technology.
Looking to check code for plagiarism with confidence? Codequiry provides the comprehensive solution with Triple Layer Detection. Before grading programming assignments, homework, or class projects, use our plagiarism detector to scan for peer collusion, web source copying, and AI-generated submissions. Detect code from Chegg, Course Hero, GitHub, Stack Overflow, and AI tools. Protect academic integrity with detailed, evidence-based reports that stand up to appeals.
Teachers and professors can use our code plagiarism checker to quickly verify student submissions across all three detection layers. Detect copied code from GitHub, Stack Overflow, Chegg, previous submissions, other students, and AI assistants. Our plagiarism detector makes it easy to check programming assignments, coding homework, and computer science projects for plagiarism. Maintain academic integrity in your classroom with the most comprehensive code plagiarism detection available—trusted by 300+ universities worldwide.
Get detailed plagiarism reports, batch code checking, team collaboration tools, API access, and advanced features. Experience unlimited code plagiarism detection with our industry-leading platform.