head to head · open source
pentagi vs Raccoon
pentagi has 33,173 GitHub stars, 5,180 forks, 71 open issues and last shipped 13 days ago. Raccoon has 4,066 stars, 500 forks, 14 open issues and last shipped 7 months ago. pentagi leads on adoption by 716% (33,173 vs 4,066 stars). pentagi is written in Go under MIT; Raccoon is written in Python under MIT. pentagi has attracted 16% as many forks as stars, Raccoon 12%. pentagi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (offensive-security), so they are genuine substitutes rather than adjacent tools.
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
| pentagi | Raccoon | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 4.1K |
| License | MIT | MIT |
| Written in | Go | Python |
| Last push | 2026-10-22 | 2026-04-21 |
| Forks | ⑂ 5.2K | ⑂ 500 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick pentagi 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 Raccoon if
- You want the Raccoon feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Raccoon fits your workflow better
About pentagi
PentAGI P enetration testing A rtificial G eneral I ntelligence Join the Community! Connect with security researchers, AI enthusiasts, and fellow ethical hackers. Get support, share insights, and stay updated with the latest PentAGI developments. ⠀ Table of Contents Overview Features Architecture Agent Supervision Quick Start Agent Docker Access Running Several Instances How to Use PentAGI After Login API Access LLM Provider Configuration Ollama OpenAI Anthropic Google AI (Gemini) AWS Bedrock DeepSeek GLM Kimi Qwen MiniMax Advanced Setup Langfuse Integration Monitoring and Observability Knowledge Graph…
read the full pentagi overview →
About Raccoon
Raccoon Offensive Security Tool for Reconnaissance and Information Gathering Features [x] DNS details [x] DNS visual mapping using DNS dumpster [x] WHOIS information [x] TLS Data supported ciphers, TLS versions, certificate details and SANs [x] Port Scan [x] Services and scripts scan [x] URL fuzzing and dir/file detection [x] Subdomain enumeration uses Google dorking, DNS dumpster queries, SAN discovery and bruteforce [x] Web application data retrieval: CMS detection Web server info and X Powered By robots.txt and sitemap extraction Cookie inspection Extracts all fuzzable URLs Discovers HTML forms Retrieves all…
read the full Raccoon overview →
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Frequently asked questions
Is pentagi or Raccoon more popular?
pentagi has 33,173 GitHub stars and Raccoon has 4,066. pentagi has the larger community by that measure.
Are pentagi and Raccoon free?
Both are open source. pentagi is licensed under MIT and Raccoon under MIT. Neither carries a licence fee.
What is the difference between pentagi and Raccoon?
pentagi is written in Go and Raccoon 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, pentagi or Raccoon?
Choose pentagi if you want the larger community (33,173 stars) or its MIT licence terms. Choose Raccoon if its feature set, stack or MIT licence fits better. Both are self-hostable.