head to head · open source
PyRIT vs beelzebub
PyRIT has 4,740 GitHub stars, 1,025 forks, 281 open issues and last shipped yesterday. beelzebub has 2,230 stars, 220 forks, 5 open issues and last shipped 2 days ago. PyRIT leads on adoption by 113% (4,740 vs 2,230 stars). PyRIT is written in Python under MIT; beelzebub is written in Go under GPL-3.0. PyRIT has attracted 22% as many forks as stars, beelzebub 10%. PyRIT 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
| PyRIT | beelzebub | |
|---|---|---|
| GitHub stars | ★ 4.7K | ★ 2.2K |
| License | MIT | GPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 1.0K | ⑂ 220 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PyRIT if
- You weight community size — 4.7K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick beelzebub if
- You want the beelzebub feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Go
- You evaluated both and beelzebub fits your workflow better
About PyRIT
Python Risk Identification Tool for generative AI (PyRIT) The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems. Check out our website for more information about how to use, install, or contribute to PyRIT. Review our security policy to report vulnerabilities privately through the Microsoft Security Response Center. Visit our Discord server to chat with the team and community. Trademarks and Citations This project may contain trademarks or logos for projects, products…
read the full PyRIT overview →
About beelzebub
Beelzebub Open source deception framework. Deploy realistic decoys. Observe attacker behavior. Turn interactions into security evidence. Explore Beelzebub Platform · Documentation · Quick start Beelzebub gives security teams a configurable way to study activity directed at decoy services. Define the environment an attacker encounters, choose how it responds, and capture the interaction for investigation. Run the framework independently or connect it to Beelzebub Platform. Why Beelzebub Deploy decoys that fit your environment. Define services, routes, and response rules in YAML. Use static handlers for…
read the full beelzebub overview →
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Frequently asked questions
Is PyRIT or beelzebub more popular?
PyRIT has 4,740 GitHub stars and beelzebub has 2,230. PyRIT has the larger community by that measure.
Are PyRIT and beelzebub free?
Both are open source. PyRIT is licensed under MIT and beelzebub under GPL-3.0. Neither carries a licence fee.
What is the difference between PyRIT and beelzebub?
PyRIT is written in Python and beelzebub 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, PyRIT or beelzebub?
Choose PyRIT if you want the larger community (4,740 stars) or its MIT licence terms. Choose beelzebub if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.