Langfuse vs Promptfoo
Side-by-side comparison of features, pricing, and ratings
Langfuse or Promptfoo: which should you choose?
| Dimension | Langfuse | Promptfoo |
|---|---|---|
| Pricing | Free · from $29/mo | Free plan · paid plans on request |
| Best for | AI engineering teams tracing multi-turn chat, coding, or workflow agents in production, Enterprises needing self-hosting, FIPS 140-3 mode, or a US/EU/JP data region for SOC 2, ISO 27001, or HIPAA requirements | AppSec and security teams running red teaming across multiple LLM apps and agents, Developers who want AI security findings surfaced in CI runs and pull requests |
| Standout features | Hierarchical tracing of LLM calls, tool invocations, retrieval, and other API calls · Session tracking for multi-turn chat and agentic workflows · Agent graphs that visualize complex agentic workflows | Automated red teaming for LLM apps, agents, and RAG pipelines · Context-aware attack generation for direct and indirect prompt injection · Jailbreaks tailored to your specific guardrails |
| Viability score | 89/100 | 89/100 |
| API | Yes | Yes |
Langfuse is the stronger pick for ai engineering teams tracing multi-turn chat, coding, or workflow agents in production; Promptfoo fits better for appsec and security teams running red teaming across multiple llm apps and agents.
Built from live tool data, last verified 2026-11-06.
Open-source LLM observability and agent evals: trace, evaluate, and improve AI agents on one MIT-licensed platform
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Promptfoo brings automated LLM red teaming and AI security testing into your CI/CD pipeline
Visit WebsiteWhat do real users say about Langfuse vs Promptfoo?
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Langfuse
73 mentions across 6 sources · 76% positive (weighted across 6 sources)
Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy
What users praise
- • Open-source and MIT-licensed, avoiding vendor lock-in with self-hosting.
- • Hierarchical traces give great depth for debugging LangChain and LangGraph.
- • Recent v4 boasts up to 165x faster real-time processing with ClickHouse.
- • LLM-as-a-judge and human annotation queues are easy to set up.
What frustrates them
- • Learning curve for beginners; UI/UX less intuitive than some alternatives.
- • Initial setup can be complex, especially for self-hosting.
- • Documentation sometimes too high-level; concrete examples missing.
- • Native SDKs don't cover all languages, requiring extra components.
Researched Sep 9, 2026
Promptfoo
No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Promptfoo”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
Frequently Asked Questions
Which is better, Langfuse or Promptfoo?
The best choice between Langfuse and Promptfoo depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.
What are the main differences between Langfuse and Promptfoo?
The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.
Is there a free version of Langfuse or Promptfoo?
Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.
What else are Langfuse and Promptfoo compared with?
If you need deep agent debugging with autonomous failure clustering and fix suggestions, LangSmith is the edge. If you want open-source flexibility, self-hosting, and unified prompt management plus ob
Where can you read more about Langfuse and Promptfoo?
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Analysis generated by our model pipeline from live data: