head to head · open source
ProjectDiscovery vs Raccoon
ProjectDiscovery has 32,543 GitHub stars, 3,962 forks, 107 open issues and last shipped yesterday. Raccoon has 4,064 stars, 500 forks, 14 open issues and last shipped 7 months ago. ProjectDiscovery leads on adoption by 701% (32,543 vs 4,064 stars). ProjectDiscovery is written in Go under MIT; Raccoon is written in Python under MIT. ProjectDiscovery has attracted 12% as many forks as stars, Raccoon 12%. 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 | Raccoon | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 4.1K |
| License | MIT | MIT |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-04-21 |
| Forks | ⑂ 4.0K | ⑂ 500 |
| 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 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 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 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 ProjectDiscovery or Raccoon more popular?
ProjectDiscovery has 32,543 GitHub stars and Raccoon has 4,064. ProjectDiscovery has the larger community by that measure.
Are ProjectDiscovery and Raccoon free?
Both are open source. ProjectDiscovery is licensed under MIT and Raccoon under MIT. Neither carries a licence fee.
What is the difference between ProjectDiscovery and Raccoon?
ProjectDiscovery 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, ProjectDiscovery or Raccoon?
Choose ProjectDiscovery if you want the larger community (32,543 stars) or its MIT licence terms. Choose Raccoon if its feature set, stack or MIT licence fits better. Both are self-hostable.