Detect code plagiarism across 50+ languages. Catch web copying, AI-generated code, and peer-to-peer collaboration. Trusted by 1,000+ universities worldwide and built for modern education.
Purpose-built for code detection. Advanced algorithms for programming plagiarism and AI detection.
Advanced fingerprinting with hexagram tokenization (modern successor to winnowing) and AST/CFG analysis. Detects rewritten, refactored, and obfuscated code while minimizing false positives.
Machine learning continuously refines detection thresholds and features using educator feedback and real-world data. The engine adapts and improves with every semester, delivering increasingly accurate results.
Get comprehensive results in minutes with unparalleled global coverage. Scans billions of sources across GitHub, Stack Overflow, academic databases, and detects AI-generated patterns worldwide.
Detected by Codequiry's advanced Hexagram tokenization engine—the modern alternative to MOSS.
Expelled from university for violating academic integrity policies. Career prospects destroyed.
Degrees were revoked. Unable to graduate. Years of work erased.
Students failed the entire course. Had to retake or delay graduation by a year.
Failed the assignment which contributed to a lower GPA and tanked their academic standing.
Trusted by 15,000+ educators worldwide
Free plan available • No credit card required
Codequiry combines three specialized detection engines working seamlessly together to provide comprehensive plagiarism detection. Each engine is purpose-built to catch different forms of academic dishonesty.
Our proprietary hexagram tokenization algorithm—an advanced evolution of traditional methods with MOSS-like capabilities built in. Compares cohorts of submissions against each other using peer-to-peer analysis. Processes up to 500 submissions in minutes with multi-threading, achieving fewer false positives and superior detection compared to standard k-gram approaches.
Scans trillions of sources across the web to detect external code plagiarism. Efficiently compares submissions against GitHub, Stack Overflow, Chegg, public repositories, and more using our hexagram comparison technology. Includes database and historical analysis to detect resubmissions and evolving patterns over time.
Identifies when students use ChatGPT, GitHub Copilot, or other AI models to generate code. Combines machine learning classification with proprietary heuristics and pattern detection that continuously evolves to stay ahead of emerging AI models. Our adaptive system maintains accuracy as AI technology advances.
From upload to actionable insights—a unified pipeline combining peer comparison, web scanning, and AI detection. Advanced software similarity analysis, simplified for educators.
Drag and drop folders or ZIP files. We automatically detect 51+ programming languages and intelligently parse your project structures.
Choose from peer similarity, web scanning (GitHub, Stack Overflow, forums), and AI-generated code detection.
Our engine analyzes tokens, AST structures, control flow, and identifier patterns to detect sophisticated obfuscation techniques and collusion attempts.
Access comprehensive reports with side-by-side comparisons, source attribution, and evidence-grade documentation ready for academic proceedings.
Analyzes how code actually functions, not just its appearance. Our engine examines code structure, logic flow, and algorithmic patterns to reveal copying despite variable renaming, reformatting, or restructuring attempts.
Cross-references submissions against 40B+ web sources including GitHub repositories, Stack Overflow, coding forums, and academic databases for clear provenance tracking and verification.
Identifies collaboration networks and template reuse patterns across entire cohorts using advanced clustering algorithms and group similarity visualization techniques.
Recognizes patterns characteristic of LLM-generated code and assesses mixed-authorship risk with transparent, explainable confidence indicators and detailed analysis.
Comprehensive coverage for 51+ programming languages including Python, Java, C/C++, JavaScript/TypeScript, Go, Rust, PHP, Swift, and more.
Generates committee-ready documentation with side-by-side code diffs, precise match highlighting, source URLs, and comprehensive similarity metrics for academic proceedings.
The code plagiarism landscape has fundamentally transformed. Stanford's MOSS pioneered similarity detection in 1997 and served academia well for decades—but modern threats demand modern solutions. Today's challenges—AI code generation, 40 billion indexed sources, and sophisticated obfuscation techniques—require detection systems specifically engineered for the AI era. Codequiry Hexagram represents the next generation: trusted by 5,000+ institutions globally including Stanford, MIT, and Carnegie Mellon, our multi-layer detection combines semantic analysis, AI pattern recognition, and real-time web intelligence to protect universities, coding bootcamps, corporate training programs, and enterprise development teams worldwide.
Original MOSS
Stanford's MOSS pioneered code similarity detection and served the academic community well for decades. Built on winnowing algorithms, it excelled at identifying exact and near-exact code matches through text-based fingerprinting.
The code plagiarism landscape has fundamentally changed. AI code generation, massive online repositories, and sophisticated obfuscation techniques require detection systems specifically designed for today's challenges. MOSS's text-matching approach, while innovative in 1997, cannot address these modern threats.
Built for the Modern Era (2024+)
Purpose-built for the AI era. Hexagram combines advanced semantic analysis, AI detection, and global source scanning to detect plagiarism that traditional tools miss entirely. Used by leading universities, coding bootcamps, and enterprises worldwide.
Real-world effectiveness comparison
Winnowing Algorithm
AI + Advanced Pattern Analysis
Codequiry Hexagram is the #1 choice for computer science and coding environments worldwide. Trusted by Stanford, MIT, Carnegie Mellon, and 5,000+ universities, bootcamps, corporate training programs, and enterprise development teams. MOSS cannot detect AI-generated plagiarism—students bypass it effortlessly. Codequiry Hexagram delivers enterprise-grade protection with 99.7% accuracy, comprehensive AI detection, 40B+ web source scanning, and support for every major programming language. Whether you're running a CS department, coding bootcamp, online program, or corporate training—Hexagram is the proven industry standard.
Trusted by Stanford, MIT, Carnegie Mellon, and 5,000+ institutions worldwide
Trusted by Stanford, MIT, Carnegie Mellon, and 5,000+ institutions worldwide — the #1 solution for universities, bootcamps, corporate training, and enterprise dev teams
Remember MOSS? The Measure of Software Similarity that was the standard for code plagiarism detection from 1997—2023?
Codequiry Hexagram is now the industry-leading standard — the #1 choice for computer science departments, coding bootcamps, corporate training programs, and enterprise dev teams worldwide. With breakthrough Hexagram technology, comprehensive AI detection, and 40B+ web source scanning, Hexagram delivers the complete protection that modern CS and coding environments require. Trusted by Stanford, MIT, Carnegie Mellon, and 5,000+ institutions globally.
Here's what makes Codequiry Hexagram truly revolutionary: We don't just search a database of known code. Our AI-powered web crawler actively scans trillions of web pages across the entire internet in real-time, intelligently extracting and comparing only code-to-code.
Tools like MOSS, JPlag, Dolos, Sherlock, SIM, Plaggie, YAP3, and similar academic tools primarily detect student‑to‑student copying — they compare within your cohort, don’t scan the public web or repositories, and don’t detect AI‑generated code. Turnitin is built for natural‑language text and is not a code plagiarism checker. These tools are not enterprise‑ready or designed for large‑scale detection; most are academic research projects hosted on university servers with limited scalability and support. Copies from Stack Overflow, GitHub, tutorials, and forums often slip through.
Codequiry fixes this: We scan the entire visible and invisible web and public repositories, and detect AI‑generated code from ChatGPT, Claude, Copilot, and others — making student cheating virtually impossible for professors who use Codequiry.
Our AI parsers automatically strip away all the useless text, HTML, ads, and page content — extracting ONLY the pure source code for comparison. No noise, just code.
We scan blogs, tutorials, Stack Overflow, Pastebin, Reddit, university websites, coding forums, and even obscure corners of the internet where students hide copied code. If it's online, we'll find it.
Unlike traditional plagiarism checkers that compare text, we use advanced NLP and syntax parsers to identify code blocks within any webpage, extract them, and compare ONLY code against code — ignoring all surrounding content.
We didn't just tweak MOSS — we completely rewrote the core algorithm from scratch. The original winnowing technique has been replaced with our breakthrough Hexagram Tokenization, featuring advanced AST (Abstract Syntax Tree) and CFG (Control Flow Graph) analysis that understands code at a structural level, not just text matching.
This isn't some academic prototype running on a university server. Codequiry is production-hardened, enterprise-grade software built to handle massive scale. We're talking 99.9% uptime SLA, redundant infrastructure, automatic failover, and the ability to process millions of files simultaneously without breaking a sweat.
While original MOSS chugs along on a single core, Codequiry unleashes the full power of modern multi-core processors. Our engine distributes work across hundreds of parallel threads, processing code comparisons simultaneously across multiple CPU cores. What used to take hours now takes minutes.
Original MOSS only compares submissions against each other. Codequiry goes nuclear — scanning 40+ billion lines from GitHub, Stack Overflow, Chegg, Course Hero, and the entire searchable web. Students can't hide by copying from online sources anymore.
Here's the kicker: Codequiry can detect AI-written code from ChatGPT, GitHub Copilot, and other LLMs. Using advanced machine learning models, we identify the statistical fingerprints that AI tools leave behind. Original MOSS? Completely blind to this.
Original MOSS crashes around 200-300 submissions. Codequiry? We've processed 5+ million submissions in a single check. Upload 1,000 student assignments? No problem. 10,000? Easy. Our distributed architecture scales horizontally without limits.
Resistant to variable renaming, formatting changes, dead‑code injection, and control‑flow reordering.
AST + CFG analysis captures program intent and logic, not just surface‑level tokens.
Ignores comments, whitespace, and formatting noise to compare code‑to‑code with precision.
Fits real courses and contests with batch uploads, cohorts, sections, and explainable reports.
Automate originality checks in GitHub/GitLab workflows with webhooks for instant results.
Production‑ready REST API and SDKs for rapid integration. See the docs for examples.
Side‑by‑side diffs, token/structure highlights, and rationales that make academic reviews straightforward.
Group similarity and cluster views reveal collusion rings across sections and large classes.
First‑class support for Python, Java, C/C++, JavaScript/TypeScript, C#, Go, Rust, PHP, Kotlin, Swift, Ruby, MATLAB, and more.
Trusted by Stanford, MIT, Carnegie Mellon, and 5,000+ institutions worldwide—the #1 choice for any computer science or coding environment
Start Free Trial—Premier ProtectionJoin Stanford, MIT, Carnegie Mellon, and hundreds of institutions revolutionizing academic integrity
Codequiry has transformed how we assess code at scale. With 1,000+ students, manual comparisons were unsustainable. Now we bulk‑upload submissions and receive clear similarity reports that catch peer copying and web sources in minutes. It outperforms MOSS, and the team features let all instructors collaborate under one plan. Academic integrity is up, grading time is down, and students know expectations are non‑negotiable.
With the rapid rise of AI tools like ChatGPT and Claude, we initially had no defense against AI-written assignments. Codequiry is on the front lines with its AI detection—already effective in beta and improving every month. It helps us confidently distinguish AI-generated work from genuine student submissions while simultaneously keeping plagiarism in check with comprehensive web and peer comparisons. It is a complete solution I trust.
I oversee more than 10,000 code submissions each semester. Codequiry's multi-source detection catches what my team and I used to miss—copy-paste from GitHub and Q&A sites, and even cleverly rewritten code. It's saved us countless hours and raised the bar for academic integrity in our program.
Honestly, this has been a lifesaver for our coding comps. The group similarity view makes it super obvious when students worked together. Codequiry is the only thing that actually catches copied code. I love it, and it's super affordable for what it does.
We've run every "plagiarism" tool under the sun—Turnitin (which only works for essays) included—and none of them work for source code. Codequiry is in a league of its own. Within the first term, we cut manual investigations by 70% and reduced repeat offenses to near zero. The web checking catches copy-paste from GitHub and forums, and the structural analysis flags sophisticated rewrites. It's fast and the reports are clear enough to stand in committee.
The detection rate is unmatched — it's very hard for students to get past Codequiry's capabilities. We had no effective solution before, but now our syllabus mentions that submissions go through Codequiry and it completely prevents copying. Just the name Codequiry makes students write their own code. Detection is speedy (about 20 minutes), and I can review originality reports for all students' code. No complaints.
Traditional text plagiarism scanners can't interpret source code or uncover structural matches. Codequiry's next-generation Hexagram engine identifies similar submissions so you can verify every student authored their work authentically.
Stop copy‑paste coding and AI‑assisted shortcuts without slowing your course. Codequiry analyzes structure and logic—not just tokens—to surface defensible, line‑level evidence your faculty can act on in minutes.
Comprehensive database scanning with the world's largest code repository index for maximum coverage and superior detection accuracy
Multi-source detection across the entire web, including private repositories and educational platforms
Advanced similarity algorithms with machine learning for precise detection and minimal false positives
Find clusters of cheating within a classroom or group with stunning visual analytics and clustering
Side-by-side line-by-line comparison with syntax highlighting and similarity scoring
Crystal clear breakdown of code origins and sources with interactive visualizations and metrics
Smart AI detection of common code patterns, libraries, and boilerplate to focus on original content
Worldwide web scanning with real-time access to the latest code repositories and online sources
Reliable AI-calculated confidence scoring with detailed explanations for informed decision making
Industry-leading accuracy with comprehensive analysis trusted by 1,000+ universities worldwide
Get comprehensive results quickly without waiting hours. Advanced cloud processing at search depth of 500+ million files
Your code is encrypted with enterprise-grade security, never stored permanently, and never shared with third parties
From universities to enterprises, Codequiry ensures code originality across every environment.
Ensure academic integrity by verifying that students submit original work. Detect plagiarism across assignments, projects, and exams in real-time.
Protect intellectual property and ensure employees follow licensing requirements. Verify that code contributions are original and not copied from external sources.
Maintain program quality by ensuring all student projects and assignments are originally written. Build trust with hiring partners through verified graduate portfolios.
Drag and drop your code submissions. Auto-detects 50+ languages.
Choose detection scope: peer matching, web scanning, AI detection.
Advanced algorithms detect similarity through AST and token analysis.
Get comprehensive reports with side-by-side diffs and evidence.
From AI-generated assignments to copied repositories and disguised rewrites, code plagiarism undermines learning, licensing, and engineering standards. Codequiry reveals similarity beyond surface-level matches to help you ensure source code was written authentically by a human.
The ChatGPT Era Challenge
Since the introduction of AI tools like ChatGPT, millions of students are using AI to complete assignments. Codequiry's advanced algorithms detect structural similarity when AI output mirrors existing solutions, identifying patterns that traditional tools miss.
Traditional Plagiarism Sources
Students copy from GitHub, Stack Overflow, Chegg, and countless code sharing sites. Our web crawler continuously indexes the entire internet's code repositories, detecting matches against public snippets, open-source fragments, and underground sources.
Identify suspicious similarity patterns across student or teammate submissions. Detect template sharing and collaborative cheating.
Catch disguised reuse despite renaming, reformatting, and code shuffling. Our algorithms see through variable changes and structure manipulation.
Detect plagiarism across 50+ programming languages. From Python to Java, C++ to JavaScript—we've got you covered.
Join 1,000+ institutions using Codequiry to maintain academic integrity and protect their code.
Start Free TrialStop copy‑paste coding and AI‑assisted shortcuts without slowing your course. Codequiry analyzes structure and logic—not just tokens—to surface defensible, line‑level evidence your faculty can act on in minutes.
Student ↔ Student, Student ↔ Web, Student ↔ AI
Codequiry doesn't just compare student submissions against each other. We scan across three critical dimensions: peer-to-peer collusion, web source copying, and AI-generated code detection—all in a single comprehensive analysis.
Evidence-Based Academic Integrity
Every similarity report includes side-by-side code comparisons, highlighted matches, source attribution, and confidence scores. Faculty can review evidence, add notes, and generate shareable reports for academic integrity committees.
Our detection engine scans billions of code sources across GitHub, Stack Overflow, academic repositories, and AI-generated patterns. Every match is highlighted, attributed, and explained with side-by-side visual comparisons.
Detect code leaks before they spread. Codequiry catches employee leaks, insider threats, and accidental exposures within hours—preventing your proprietary code from reaching competitors, foreign adversaries, or underground markets. Stop leaks before they get into the wrong hands.
Catch Employee Leaks Before They Spread
Detect employee code leaks, insider threats, and accidental exposures within hours of publication—before they reach competitors, get indexed by search engines, or proliferate across underground forums. Our 24/7 web crawlers monitor GitHub, GitLab, Bitbucket, paste sites, darknet marketplaces, and code-sharing platforms across 190+ countries, alerting you instantly when your proprietary code surfaces online.
Courtroom-Ready Documentation
Generate courtroom-ready evidence packs with timestamps, attribution, and visual diff views that preserve chain of custody. Every detection includes comprehensive documentation suitable for legal proceedings, IP disputes, and compliance audits. We never reuse or save your code for checking purposes on paid plans.
Index 40B+ artifacts spanning GitHub, GitLab, documentation sites, underground repos, and region-specific code communities worldwide.
Pre-merge similarity checks, branch protections, and pass/fail thresholds integrated directly into your development workflow.
Open-source license detection and compliance reviews with complete evidence trails for every dependency and code snippet.
Instant notifications to Slack, Teams, email, and SIEM pipelines the moment your code appears anywhere online.
Join Fortune 500 companies using Codequiry to safeguard their most valuable code assets.
Start Enterprise TrialComprehensive code similarity detection with modern features
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Feature
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Codequiry
Recommended
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MOSS
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JPlag
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Turnitin
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|---|---|---|---|---|
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AI & ChatGPT Detection
Detect AI-generated code
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Limited | |||
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Web Source Detection
40B+ GitHub, StackOverflow sources
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||||
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Programming Languages
Supported languages
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51+ Languages | 30+ | 15+ | Essay Only |
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Cloud-Based Platform
No installation required
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||||
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Modern UI & Reports
Visual side-by-side comparison
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Basic | Basic | ||
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Batch Processing
500+ submissions at once
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Limited | |||
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API Integration
REST API for custom workflows
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Limited | |||
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Active Support
Regular updates & maintenance
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24/7 Support | Discontinued | Community |
Choose the method that works best for your workflow
Full-featured web interface with intuitive dashboard and visual reports
Powerful RESTful API for custom integrations and automation
Powerful CLI for developers who prefer terminal-based workflows
Our comprehensive API documentation and CLI guides make it easy to integrate Codequiry into your existing systems and workflows.