--- title: "promptfoo vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promptfoo-promptfoo-vs-tencent-ai-infra-guard" tools: ["promptfoo-promptfoo", "tencent-ai-infra-guard"] --- # promptfoo vs AI-Infra-Guard *GraphCanon updated Aug 2, 2026* ## Verdict Pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support; pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. [promptfoo](https://promptfoo.dev) reports 24k GitHub stars, 2.1k forks, and 481 open issues, last pushed Aug 1, 2026. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 4.3k stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [promptfoo's repository](https://github.com/promptfoo/promptfoo) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [promptfoo](/tools/promptfoo-promptfoo.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming. | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 23,838 | 4,316 | | Forks | 2,147 | 419 | | Open issues | 481 | 13 | | Language | TypeScript | Python | | Adopt for | promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptfoo](/tools/promptfoo-promptfoo.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Open issues (now) | 481 | 13 | | Full report | [trust report](/tools/promptfoo-promptfoo/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Shared compatibility - **Python**: [promptfoo](/tools/promptfoo-promptfoo.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime ## Decision facts: promptfoo - **Adopt for:** promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Choose when ### Choose promptfoo if… - promptfoo is primarily TypeScript; AI-Infra-Guard is Python. - License: promptfoo is MIT, AI-Infra-Guard is Apache-2.0. - Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming. - For comparing performance across GPT, Claude, Gemini, DeepSeek ### Choose AI-Infra-Guard if… - AI-Infra-Guard is primarily Python; promptfoo is TypeScript. - License: AI-Infra-Guard is Apache-2.0, promptfoo is MIT. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ## When NOT to use promptfoo - If you do not require comparative analysis among multiple LLM models - If your project does not benefit from the specific red teaming capabilities offered by promptfoo ## When NOT to use AI-Infra-Guard - Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. - Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ## Common questions ### What is the difference between promptfoo and AI-Infra-Guard? promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptfoo over AI-Infra-Guard? Choose promptfoo over AI-Infra-Guard when promptfoo is primarily TypeScript; AI-Infra-Guard is Python; License: promptfoo is MIT, AI-Infra-Guard is Apache-2.0; Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming; For comparing performance across GPT, Claude, Gemini, DeepSeek. ### When should I choose AI-Infra-Guard over promptfoo? Choose AI-Infra-Guard over promptfoo when AI-Infra-Guard is primarily Python; promptfoo is TypeScript; License: AI-Infra-Guard is Apache-2.0, promptfoo is MIT; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### When should I avoid promptfoo? If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo ### When should I avoid AI-Infra-Guard? Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ### Is promptfoo or AI-Infra-Guard more popular on GitHub? promptfoo has more GitHub stars (23,838 vs 4,316). Stars measure visibility, not whether either tool fits your constraints. ### Are promptfoo and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub (promptfoo: MIT, AI-Infra-Guard: Apache-2.0). ### Where can I find alternatives to promptfoo or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [promptfoo alternatives](/tools/promptfoo-promptfoo/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([promptfoo markdown twin](/tools/promptfoo-promptfoo/alternatives.md), [AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/promptfoo-promptfoo-vs-tencent-ai-infra-guard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptfoo or AI-Infra-Guard? promptfoo: Very active. AI-Infra-Guard: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for promptfoo and AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptfoo trust report](/tools/promptfoo-promptfoo/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promptfoo-promptfoo`](/api/graphcanon/graph?tool=promptfoo-promptfoo) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_