head to head · open source
ProjectDiscovery vs ARL-Next
ProjectDiscovery has 32,657 GitHub stars, 3,979 forks, 107 open issues and last shipped yesterday. ARL-Next has 504 stars, 92 forks, 5 open issues and last shipped 3 days ago. ProjectDiscovery leads on adoption by 6,380% (32,657 vs 504 stars). ProjectDiscovery is written in Go under MIT; ARL-Next is written in Python under GPL-3.0. ProjectDiscovery has attracted 12% as many forks as stars, ARL-Next 18%. ProjectDiscovery was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| ProjectDiscovery | ARL-Next | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 504 |
| License | MIT | GPL-3.0 |
| Written in | Go | Python |
| Last push | 2026-11-07 | 2026-11-05 |
| Forks | ⑂ 4.0K | ⑂ 92 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ProjectDiscovery if
- You weight community size — 33K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick ARL-Next if
- You want the ARL-Next feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Python
- You evaluated both and ARL-Next fits your workflow better
About ProjectDiscovery
English • 中文 • Korean • Indonesia • Spanish • 日本語 • Portuguese • Türkçe Nuclei is a modern, high performance vulnerability scanner that leverages simple YAML based templates. It empowers you to design custom vulnerability detection scenarios that mimic real world conditions, leading to zero false positives. Simple YAML format for creating and customizing vulnerability templates. Contributed by thousands of security professionals to tackle trending vulnerabilities. Reduce false positives by simulating real world steps to verify a vulnerability. Ultra fast parallel scan processing and request clustering. Integrate…
read the full ProjectDiscovery overview →
About ARL-Next
English 简体中文 ARL Next 现代化资产测绘与漏洞监控平台 Modern Attack Surface Reconnaissance & Asset Intelligence Platform 企业资产关联 · 异步解耦调度 · 原生 MCP 协议集成 · 容器化开箱部署 🚀 快速入门（5 分钟） • ⚡ 快速部署指南 • 💡 架构演进对比 • ✨ 核心特性 • 🔌 API对接指南 • 🤖 MCP配置指南 • 🎯 MCP实战用例 • 📜 更新日志 • 💬 讨论交流 • 📄 开源协议 💡 什么是 ARL Next？ ARL Next 是基于经典开源项目 ARL (资产侦察灯塔) 进行架构重构与持续演进的资产测绘平台。 针对大规模扫描场景下的任务队列阻塞、长时间运行内存增长以及历史依赖过时等工程瓶颈，系统实施了微服务拆分与异步任务解耦，全面升级现代运行时环境与测绘工具链，并集成了 Model Context Protocol (MCP) 标准协议，支持自动化资产透视与 AI 协同分析。 💡 架构演进与技术方案基准对比 ✨ 核心特性矩阵 🤖 AI Agent 原生集成与 MCP 治理中心 (MCP 2.0) ：遵循 Model Context Protocol (2024 11 05) 标准，提供 远程原生 SSE 直连 （Cursor / Claude Desktop 粘贴即用）与 本地…
read the full ARL-Next overview →
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Frequently asked questions
Is ProjectDiscovery or ARL-Next more popular?
ProjectDiscovery has 32,657 GitHub stars and ARL-Next has 504. ProjectDiscovery has the larger community by that measure.
Are ProjectDiscovery and ARL-Next free?
Both are open source. ProjectDiscovery is licensed under MIT and ARL-Next under GPL-3.0. Neither carries a licence fee.
What is the difference between ProjectDiscovery and ARL-Next?
ProjectDiscovery is written in Go and ARL-Next in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ProjectDiscovery or ARL-Next?
Choose ProjectDiscovery if you want the larger community (32,657 stars) or its MIT licence terms. Choose ARL-Next if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.