The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
⚡ Executive Summary & Quick Facts
Authoritative SourceAwesome-LLMs-for-Vulnerability-Detection is Awesome-LLMs-for-Vulnerability-Detection is an open-source project written in Python: The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), huhusmang/Awesome-LLMs-for-Vulnerability-Detection has accumulated 1,494 GitHub stars and 154 forks. It is written in Python, licensed under MIT, and ranks #5,862 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | huhusmang/Awesome-LLMs-for-Vulnerability-Detection ↗ |
|---|---|
| Primary Category | awesome list |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1.5K stars · ⑂ 154 forks · #5,862 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 6 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, Awesome-LLMs-for-Vulnerability-Detection is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (11 days ago). Supported by 1,494 stars and 154 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+37
STARS · LAST 30 DAYS
1
PER DAY
#819
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +37 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
Awesome-LLMs-for-Vulnerability-Detection gained 37 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 2 years old and has averaged roughly 747 stars a year. It ranks #819 among Python repositories and #5,862 across all languages on GitHubRepo.
Trending Record
23
DAYS ON TRENDING
#1485
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Awesome-LLMs-for-Vulnerability-Detection has maintained a continuous presence across global trending indexes, peaking at #1485. Below is the 30-day activity profile:
💡 Overview
Awesome-LLMs-for-Vulnerability-Detection is an open-source project written in Python: The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
Engineered for speed, consistency, and developer ease, it solves common hurdles in awesome-list, code-security, large-language-models. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Awesome-LLMs-for-Vulnerability-Detection⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Awesome-LLMs-for-Vulnerability-Detection coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Awesome-LLMs-for-Vulnerability-Detection.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Awesome-LLMs-for-Vulnerability-Detection using your package manager: `pip install Awesome-LLMs-for-Vulnerability-Detection`
Initialize your project workspace or configuration file for Awesome-LLMs-for-Vulnerability-Detection.
Import Awesome-LLMs-for-Vulnerability-Detection into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Awesome-LLMs-for-Vulnerability-Detection --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
huhusmang/Awesome-LLMs-for-Vulnerability-Detection is currently ranked #5,862 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #5,862 | huhusmang/Awesome-LLMs-for-Vulnerability-Detection This Project | Python | ★ 1.5K | |
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Frequently Asked Questions
What does Awesome-LLMs-for-Vulnerability-Detection do? +
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
Is Awesome-LLMs-for-Vulnerability-Detection actively maintained in 2026? +
Yes, Awesome-LLMs-for-Vulnerability-Detection is actively maintained. The latest code push was recorded on Oct 21, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,494 stars and 6 open issues.
What language is Awesome-LLMs-for-Vulnerability-Detection written in? +
The primary language is Python. Topics include: awesome-list, code-security, large-language-models, llm, security.
How many stars does Awesome-LLMs-for-Vulnerability-Detection have? +
Awesome-LLMs-for-Vulnerability-Detection has 1,494 stars and 154 forks on GitHub.
How does Awesome-LLMs-for-Vulnerability-Detection rank among GitHub repositories? +
With 1,494 stars, huhusmang/Awesome-LLMs-for-Vulnerability-Detection is ranked #5,862 globally across all repositories tracked on GitHubRepo and #819 among Python projects.
What license is Awesome-LLMs-for-Vulnerability-Detection distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
