head to head · open source
ProjectDiscovery vs Pentest-Swarm-AI
ProjectDiscovery has 32,543 GitHub stars, 3,962 forks, 107 open issues and last shipped yesterday. Pentest-Swarm-AI has 3,115 stars, 570 forks, 18 open issues and last shipped yesterday. ProjectDiscovery leads on adoption by 945% (32,543 vs 3,115 stars). ProjectDiscovery is written in Go under MIT; Pentest-Swarm-AI is written in Go under AGPL-3.0. ProjectDiscovery has attracted 12% as many forks as stars, Pentest-Swarm-AI 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 | Pentest-Swarm-AI | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 3.1K |
| License | MIT | AGPL-3.0 |
| Written in | Go | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 4.0K | ⑂ 570 |
| 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 Pentest-Swarm-AI if
- You want the Pentest-Swarm-AI feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and Pentest-Swarm-AI 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 Pentest-Swarm-AI
The open source XBOW alternative — an autonomous API & web app pentester. Dozens of AI agents don't just scan — they exploit . They chain attacks (BOLA/IDOR, JWT forgery, mass assignment, SSRF, injection), build and score attack paths, and prove real vulnerabilities at machine speed. Built for pentesters · bug bounty hunters · red teamers · security researchers 📖 Documentation · Quick Start · vs. XBOW · Swarm vs. Multi Agent · How It Works · Roadmap Hack at machine speed. 📖 New here? Start with the documentation — quickstart, provider setup, CLI reference, and…
read the full Pentest-Swarm-AI overview →
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Frequently asked questions
Is ProjectDiscovery or Pentest-Swarm-AI more popular?
ProjectDiscovery has 32,543 GitHub stars and Pentest-Swarm-AI has 3,115. ProjectDiscovery has the larger community by that measure.
Are ProjectDiscovery and Pentest-Swarm-AI free?
Both are open source. ProjectDiscovery is licensed under MIT and Pentest-Swarm-AI under AGPL-3.0. Neither carries a licence fee.
What is the difference between ProjectDiscovery and Pentest-Swarm-AI?
ProjectDiscovery is written in Go and Pentest-Swarm-AI in Go. 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 Pentest-Swarm-AI?
Choose ProjectDiscovery if you want the larger community (32,543 stars) or its MIT licence terms. Choose Pentest-Swarm-AI if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.