head to head · open source
AI-Infra-Guard vs safelabs-eval
AI-Infra-Guard has 6,827 GitHub stars, 654 forks, 35 open issues and last shipped 3 days ago. safelabs-eval has 570 stars, 27 forks, 0 open issues and last shipped 3 days ago. AI-Infra-Guard leads on adoption by 1,098% (6,827 vs 570 stars). AI-Infra-Guard is written in Python under Apache-2.0; safelabs-eval is written in Python under Apache-2.0. AI-Infra-Guard has attracted 10% as many forks as stars, safelabs-eval 5%. safelabs-eval was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-security, ai-safety, llm-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
| AI-Infra-Guard | safelabs-eval | |
|---|---|---|
| GitHub stars | ★ 6.8K | ★ 570 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-09 | 2026-10-09 |
| Forks | ⑂ 654 | ⑂ 27 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AI-Infra-Guard if
- You weight community size — 6.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick safelabs-eval if
- You want the safelabs-eval feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and safelabs-eval fits your workflow better
About AI-Infra-Guard
AI Infra Guard (A.I.G) is a full stack AI red teaming platform from Tencent Zhuque Lab that scans agents, MCP servers, agent skills and AI infrastructure for security risk and evaluates large language models against jailbreak attacks, built for security engineers and AI platform teams that need to self examine their own AI deployments.
read the full AI-Infra-Guard overview →
About safelabs-eval
safelabs eval is an open source red teaming and evaluation framework for AI agent builders who need to test whether their agents resist adversarial prompts before production.
read the full safelabs-eval overview →
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Frequently asked questions
Is AI-Infra-Guard or safelabs-eval more popular?
AI-Infra-Guard has 6,827 GitHub stars and safelabs-eval has 570. AI-Infra-Guard has the larger community by that measure.
Are AI-Infra-Guard and safelabs-eval free?
Both are open source. AI-Infra-Guard is licensed under Apache-2.0 and safelabs-eval under Apache-2.0. Neither carries a licence fee.
What is the difference between AI-Infra-Guard and safelabs-eval?
AI-Infra-Guard is written in Python and safelabs-eval 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, AI-Infra-Guard or safelabs-eval?
Choose AI-Infra-Guard if you want the larger community (6,827 stars) or its Apache-2.0 licence terms. Choose safelabs-eval if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.