Promptfoo

Name: Promptfoo
Brand: Promptfoo

AI Native

Find and fix vulnerabilities in LLMs, RAG systems, and AI agents before they reach production.

Est 2024|Valuation $85.5M|Raised $22.7M|14 Ref Customers

LinkedIn 6K|Web traffic 83K|FTEs 11|HQ San Francisco, California, US

01Competitive Landscape

Narrative analysis

- Promptfoo is commonly selected when the primary requirement is repeatable tests and red-team runs integrated into CI; observability-first platforms are chosen when production traces, monitoring, and investigation workflows are priorities. - Compared with pure evaluation frameworks, Promptfoo emphasizes security validation and application-layer attack surface testing; some evaluation frameworks emphasize scoring/metrics and Python-native workflows. - Against dedicated red-teaming tools, Promptfoo presents a broader application-layer testing approach including RAG/agents, while focused scanners emphasize model-oriented vulnerability probing.

Adoption trends / market signals

Promptfoo has visible GitHub activity and appears in some architecture guidance and press materials.
Vendor adoption claims (for example, claims of large enterprise customers) are substantial but not independently verified in the accessible sources.

	Promptfoo	Langfuse	LangSmith
Starting Price	Open-source offering with optional enterprise/commercial options.	OSS available; hosted pricing varies.	Paid tiers with publicly listed plans that vary by feature.
Primary use case	CI-driven LLM evaluations and security/red-teaming; tests-as-code workflows.	Production observability/tracing, monitoring, and prompt management.	Tracing and debugging within the LangChain ecosystem; datasets and evals.
Key capability	YAML/config-driven evaluations, red-teaming plugins, local-first/self-hosted execution.	Detailed traces and monitoring for production systems; prompt/version management.	Integrated tracing and evaluation tools for LangChain-based applications.
Key limitation	Less centralized experiment tracking and non-engineer-friendly UIs unless enterprise/cloud options are adopted.	May require more extensive instrumentation and is oriented toward production monitoring.	Most beneficial within LangChain ecosystems and may feel heavyweight outside of that context.

01Competitive Landscape

Narrative analysis

Promptfoo is commonly selected when the primary requirement is repeatable tests and red-team runs integrated into CI; observability-first platforms are chosen when production traces, monitoring, and investigation workflows are priorities.
Compared with pure evaluation frameworks, Promptfoo emphasizes security validation and application-layer attack surface testing; some evaluation frameworks emphasize scoring/metrics and Python-native workflows.
Against dedicated red-teaming tools, Promptfoo presents a broader application-layer testing approach including RAG/agents, while focused scanners emphasize model-oriented vulnerability probing.

Adoption trends / market signals

Promptfoo has visible GitHub activity and appears in some architecture guidance and press materials.
Vendor adoption claims (for example, claims of large enterprise customers) are substantial but not independently verified in the accessible sources.

	Promptfoo	Langfuse	LangSmith
Starting Price	Open-source offering with optional enterprise/commercial options.	OSS available; hosted pricing varies.	Paid tiers with publicly listed plans that vary by feature.
Primary use case	CI-driven LLM evaluations and security/red-teaming; tests-as-code workflows.	Production observability/tracing, monitoring, and prompt management.	Tracing and debugging within the LangChain ecosystem; datasets and evals.
Key capability	YAML/config-driven evaluations, red-teaming plugins, local-first/self-hosted execution.	Detailed traces and monitoring for production systems; prompt/version management.	Integrated tracing and evaluation tools for LangChain-based applications.
Key limitation	Less centralized experiment tracking and non-engineer-friendly UIs unless enterprise/cloud options are adopted.	May require more extensive instrumentation and is oriented toward production monitoring.	Most beneficial within LangChain ecosystems and may feel heavyweight outside of that context.

Promptfoo

01Competitive Landscape

Narrative analysis

Adoption trends / market signals

02Market Map

01Competitive Landscape

Narrative analysis

Adoption trends / market signals

02Market Map