Search Results for "source code plagiarism detection"
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Showing 427 open source projects for "source code plagiarism detection"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Anti-Plagiarism - software designed to effectively detect and thereby prevent plagiarism. It is a versatile tool to deal with World Wide Web copy-pasting information from the assignment of authorship. The goal of this program is to help reduce the impact of plagiarism on education and educational institutions. Checking documents in a format *.rtf, *.doc, *.docx, *.pdf Check the source code C, C++, C#, Java, ...
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Python Code Tutorials
The Python Code Tutorials
Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and... -
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Claude Code Usage Monitor
Real-time Claude Code usage monitor with predictions and warnings
Claude Code Usage Monitor is a developer-focused terminal tool that provides real-time visibility into Claude Code token consumption and session behavior. The project is designed to help users avoid unexpectedly hitting usage caps by continuously tracking token burn rate, message counts, and estimated costs during active sessions. It presents analytics through a visually rich terminal interface built with modern Python tooling, making it easy to interpret usage trends at a glance. The system... -
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Ralph for Claude Code
Autonomous development loop that iteratively improves projects
Ralph for Claude Code is an autonomous AI development loop framework designed to continuously iterate on a software project until predefined goals are achieved. It implements a technique that enables Claude Code to repeatedly analyze, modify, and improve a codebase through structured development cycles. It automates the process of running AI-assisted development tasks, allowing the model to progressively refine a project without constant manual intervention. Ralph introduces mechanisms to... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Defending Code Reference Harness
Skills for threat modeling, scanning, triage, patching, etc.
Defending Code Reference Harness is a reference implementation for autonomous vulnerability discovery and remediation with Claude. It is designed for security teams that want a structured way to test, triage, and patch software issues with agent support. The project includes skills for threat modeling, scanning, triage, patching, and customizable autonomous analysis workflows. Its default pipeline focuses on finding memory bugs in C and C++ code using ASAN as the crash detector. The overall... -
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InsightFace
State-of-the-art 2D and 3D Face Analysis Project
State-of-the-art deep face analysis library. InsightFace is an open-source 2D&3D deep face analysis library. InsightFace is an integrated Python library for 2D&3D face analysis. InsightFace efficiently implements a wide variety of state-of-the-art algorithms for face recognition, face detection, and face alignment, which are optimized for both training and deployment. Research institutes and industrial organizations can get benefits from InsightFace library. -
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Code Quality and Security for Java
SonarSource Static Analyzer for Java Code Quality and Security
Hundreds of unique rules to find Java bugs, code smells & vulnerabilities. Sonar static analysis helps you build and maintain high-quality Java code. Covering popular build systems, standards and versions, Sonar elevates your coding game while keeping vulnerabilities at bay. With each Java version, we create dedicated rules so you learn shiny, new features and avoid pitfalls. Consistently find tricky, hard-to-spot issues in your regular expressions. Allow you to effortlessly repair your Java... -
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SCANOSS SBOM Workbench
Graphical user interface to scan and audit your source code
...It also supports identifying cryptographic algorithms and libraries through configurable detection rules. Advanced settings allow administrators to adjust scanning concurrency, API timeouts, and network proxy configurations. Built with Electron, the application provides a multilingual interface for software composition analysis and source code auditing. -
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Highlight.js
JavaScript syntax highlighter with language auto-detection
Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server. It can work with pretty much any markup, doesn’t depend on any other frameworks, and has automatic language detection. Highlight.js supports over 180 languages in the core library. There are also 3rd party language definitions available to support even more languages. We strongly recommend <pre><code> wrapping for code blocks. It's quite semantic and "just works" out of the box with... -
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
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RA.Aid
Develop software autonomously
RA.Aid is an AI-powered assistant designed to enhance the efficiency of software development workflows. It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality. -
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CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to... -
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Aimmy
Universal Second Eye for Gamers with Impairments
...It includes a full graphical interface so users can adjust detection confidence, field of view, movement behavior, visual feedback, models, and configurations without writing code. Aimmy also supports model and configuration swapping, including community-made resources through its own ecosystem. Because it can affect gameplay fairness, it should be considered appropriate only for accessibility use, private testing, or contexts where the game rules explicitly allow assistive tools. -
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fibratus
Security sensor for realtime threat detection and protection
Fibratus is a free, open-source Windows security monitoring tool designed for real-time threat detection, endpoint protection, and forensic analysis. It observes operating system activity through Windows Event Tracing to identify potentially malicious behavior. Its behavior-driven rule engine detects suspicious processes, file operations, network activity, and other security-relevant events. YARA integration enables memory scanning for malware signatures and suspicious patterns. Users can... -
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Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on... -
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
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rebroswer-patches
Patches for Puppeteer and Playwright to reduce automation detection
rebrowser-patches is an open source collection of patches designed to improve the stealth capabilities of browser automation frameworks. It focuses primarily on enhancing Puppeteer and Playwright by modifying parts of their source code that may reveal automation activity to websites. Many modern websites rely on bot detection mechanisms that identify automation through behavioral or technical signals, and these patches aim to reduce those detection vectors. ... -
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Lithe-IDEA
A lightweight, cross-platform IDE for the AI era
Lithe is a lightweight, open-source integrated development environment designed for Java, Spring Boot, and AI-assisted programming. It provides essential coding tools without the memory overhead of traditional IDEs. Its editor supports code completion, symbol navigation, project-wide search, and on-demand language servers. Developers can manage Maven projects, configure run commands, and debug applications with breakpoints. -
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Impeccable
The design language that makes your AI harness better at design
Impeccable is a design skill system that helps AI coding tools produce better frontend interfaces by giving them a richer design vocabulary. It provides one comprehensive skill, multiple commands, and curated reference files covering typography, color, motion, spacing, interaction, responsive design, and UX writing. The project is built to counter common AI-generated design habits such as generic SaaS layouts, overused fonts, nested cards, weak hierarchy, and predictable gradients. It can be... -
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Void Editor
Open source AI IDE and Cursor alternative
Void is an open-source, AI-powered code editor built as a fork of Visual Studio Code. Designed as a fully transparent and privacy-focused alternative to Cursor or GitHub Copilot, it lets you use AI models locally or via APIs (OpenAI, Claude, Gemini, Ollama, etc.)—without routing data through proprietary servers. Developed by YC-backed startup Glass Devtools, it supports traditional coding features inherited from VS Code, enhanced with in-editor LLM capabilities—autocomplete, inline quick... -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful... -
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claude-status-bar
Menu bar status indicator for Claude Code
...Users can choose from several animation styles, including a spinning symbol, animated spark, pixel-art crab, and orbiting dots. The application monitors multiple sessions and prioritizes those awaiting attention. It supports Claude Code in terminals, the desktop Code tab, and compatible Cursor integrations. Automatic session detection launches the indicator when needed and closes it when no sessions remain active. -
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TikTok-ViewBot
ViewBot using requests updated 2025
TikTok-ViewBot explores automated interactions with TikTok’s viewing mechanisms for research and educational purposes. The code demonstrates how scripted traffic might be generated and measured, highlighting the kinds of heuristics a platform could use to validate or discount views. It is often used to study rate limits, signature schemes, request patterns, and the fragility of naïve automation. Because it touches on automation against a third-party service, responsible use and adherence to... -
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Is Website Vulnerable
Finds publicly known security vulnerabilities in a website's frontend
A command-line tool that scans websites for known security vulnerabilities in their frontend dependencies by checking against the Snyk vulnerability database. -
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changedetection.io
The best free open source website change detection and restock service
Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the... -
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Al-Khaser
Public malware techniques used in the wild: Virtual Machine, Emulation
al-khaser is an open-source proof-of-concept security tool that deliberately implements techniques commonly used by real-world malware to test and evaluate the effectiveness of antivirus and endpoint detection and response (EDR) systems. It’s written in C/C++ and designed to execute a wide range of anti-analysis, anti-debugging, anti-virtualization, timing-based evasion, and sandbox detection routines so security researchers and defenders can see how well their tools detect or ignore these...
