Codequiry is a tool to detect plagiarism in source code. You upload the code, and it highlights similarities to identify potential copying. It provides insights and detailed results, supports multiple programming languages, and checks code against billions of sources.
Provides detailed reports and analyses on code plagiarism cases to give insight into similarities and potential copying.
Intelligently matches code against a comprehensive database to detect similarities and possible plagiarism.
Covers a wide range of programming languages and formats, ensuring thorough plagiarism detection across different platforms.
Allows for checking code against peers to identify any unauthorized sharing or copying.
Compares code with web sources to detect if code segments are copied from online sources.
Users can see the progress of their code plagiarism check in real-time, allowing for immediate insights.
Provides insights and detailed results, including statistical breakdowns of the matches found.
Utilizes advanced algorithms to analyze code patterns and detect AI-generated content.
Scans online repositories and forums to check for copied code snippets.
Compares code submissions within the group to identify similarities and potential plagiarism.
Detects similarities in source code at a deeper level, examining logic patterns and ignoring superficial elements like comments and variables.
The software is recognized for its thorough and rigorous analysis which ensures reliable results, capable of detecting even slightly copied code.
Program code is scrutinized both internally and externally to ensure its uniqueness compared to other codes submitted online.
Allows for quick code checking with a streamlined process involving peer checks, database checks, and web checks.
Uses latest technology to check code originality and similarities. Compares code from billions of sources and highlights potentially copied code. Useful for both developers and clients.
Analyzes the structure of software to detect similarities beyond cosmetics. Continuously improves to highlight similarities between software.
Ensures reliable result application through rigorous checks. Identifies original code submissions and other people's work against the web.
Works with major programming languages such as Java, C++, C, Python, and many others. Can analyze various code formats like Json, XML, etc.
Investigates over 20 billion public lines of code. Measures software similarity using extracted snippets.
Allows easy upload of code for automatic checking. Uses different types of tests including databases, peer check, and web check.
Provides fast results, taking an average of 12 seconds to check against billions of other lines of code.
Automatically grades programming assignments using a fast and efficient system, which takes a few minutes to set up. It ensures accuracy and consistency by minimizing human error.
Includes a plagiarism checker to ensure originality in programming assignments. Educators can verify the uniqueness of a student's code before grading.
Provides instant access to detailed grading reports that can be shared with students for better feedback.
A tool designed to detect plagiarism in Java code by recognizing complex similarities and differences. It uses advanced algorithms to identify even cleverly disguised plagiarized snippets.
Employs a multi-layer algorithm that detects similarities in Java code with improved accuracy, compared to traditional methods. It recognizes unique patterns and obfuscation techniques.
Leverages the MOSS (Measure of Software Similarity) algorithm, commonly used in academic settings, to identify copied code by analyzing code structure and syntax.
Offers detailed analysis reports that visualize similarities and provide insights into code composition, helping users understand how plagiarism is occurring.
The API provides consistent and reliable source code analysis to detect plagiarism, helping organizations prevent code misconduct.
Offers deep insights into code plagiarism, utilizing advanced algorithms to detect hidden attempts to plagiarize code.
Allows businesses and institutions to integrate external code checking into their existing systems with minimal manual effort.
Reduces the need for manual reviews by automating much of the plagiarism detection process, saving time and resources.
Enables checking of code submissions remotely, making it easier for organizations to handle numerous assignments.
Provides detailed information and highlighted snippets where plagiarism has been detected.
Provides a rich and detailed analysis of code submissions, showing percentage likelihood of code plagiarism and other metrics with both group and web matches.
Analyzes code submissions to automatically sort and highlight samples suspected of plagiarism, reducing manual workload.
Combines the power of web checks with group checks to detect plagiarism across a variety of sources.
Automatically identifies and sorts samples suspected of plagiarism to focus on high-risk areas.
Codequiry allows you to check submissions against 11 billion resources, helping ensure no external code is copied.
The built-in code engine in Codequiry is highly customizable to meet user requirements and personalize the tool according to specific needs.
The page explains the use of plagiarism detection tools for source code. These tools analyze code submissions to check for copied content. They incorporate various algorithms to detect similar code structures, and compare submissions against a vast database to ensure originality.
Utilizes several algorithms such as 'Accurate and Readable Results', 'Internet Algorithms', and 'Wider Reach' to compare code and ensure originality. These algorithms look for similar code patterns and use style matching to identify potential plagiarism.
After an initial pre-check of code for potential plagiarism issues, the platform checks contributions against billions of code sources to validate originality. Ensures that submissions do not contain copying from existing resources.
The program scans code to detect plagiarism by transforming code into tokens and checking against other documents with similar codes. It provides a detailed analysis to help users identify copied code easily.
The tool supports more than 20 programming languages, including Python, C, Java, C++, HTML, SQL, PHP, C#, Assembly, Ruby, JavaScript, Haskel, Matlab, and Typescript, among others.
The detector allows users to check for plagiarism without any special training, making it accessible and easy to use.
With over 500 billion lines of code in the database, the detector is capable of providing accurate plagiarism detection results using a smart detection algorithm.
Codequiry is specifically designed for code plagiarism detection. Unlike Turnitin, it is built to handle the unique challenges of code plagiarism.
Codequiry covers over 30 programming languages like Python, Java, and C++, making it versatile for educators and institutions dealing with diverse coding assignments.
Codequiry uses sophisticated algorithms to detect not only exact matches but also nuanced forms of plagiarism such as code obfuscation, variable renaming, and structural similarities.
Codequiry checks submissions against a database of previous submissions and scans the web for potential matches, including external sources like GitHub and Stack Overflow.