Agent-driven automated CVE discovery platform for source code auditing, vulnerability verification, and report generation.
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Updated
Jul 12, 2026 - Python
Agent-driven automated CVE discovery platform for source code auditing, vulnerability verification, and report generation.
Emerge is a browser-based interactive codebase and dependency visualization tool for many different programming languages. It supports some basic code quality and graph metrics and provides a simple and intuitive way to explore and analyze a codebase by using graph structures.
Concurrently detect the minimum Python versions needed to run code
CodeWiki is a knowledge platform that analyzes repositories into AST graphs, builds GraphRAG indexes, and generates source-grounded developer wikis with FastAPI, React, and LiteLLM.
Source code graph RAG (GraphRAG) for C/C++ development based on clang/clangd
A toolkit for pre-processing large source code corpora
Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.
CFG based program similarity using Graph Neural Networks
an implementation of "code2vec: Learning Distributed Representations of Code"
detect programming language of source in pure python from an ensemble of classifiers
Agent Skill: Architecture-level cross-stack source code asset scanner. Know what you have before you refactor. | 架构级跨技术栈源码资产扫描工具
Improving Source Code Similarity Detection with GraphCodeBERT and Additional Feature Integration
Source code graph RAG (graphRAG) for Java/Kotlin development based on jQAssistant
TONBI is a source code auditing scanner against framework based web application. It hunts for various vulnerabilites in such as Laravel, Codeigniter, Django, Flask, Rails , etc ... It's simple, easy, and intuitive! It gives the most efficient code auditing method especially for security researchers and also all the web application developers.
Unified solution for SemEval-2026 Task 13: GenAI Code Detection & Attribution. A modular framework covering Subtasks A (Detection), B (Authorship), and C (Mixed-Source Analysis), designed to distinguish and analyze LLM-generated vs. Human code with a centralized pipeline.
CBR Insight: Measure Source Code Quality
An OpenCL driver to test, run and profile standalone kernels on arbitrary devices
A repository containing the source code, datasets, and ranked features for the Nested Bigrams method proposed in a paper published in ICDMW. This method is designed for authorship attribution in source code to address cybersecurity issues.
A Parser to convert Fortify .XML report to Excel format with multi-tab option for extensive records.
A CLI Application to detect plagiarism in Source Code Files.
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