Langfuse vs Promptfoo
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Langfuse | Promptfoo |
|---|---|---|
| Pricing | Free cloud tier + paid (self-host free via MIT) | Free community (10k probes/mo) + Enterprise |
| Best For | Production observability & prompt management | Enterprise security & red teaming |
| Key Feature | Traces, evals, prompt mgmt, experiments | Automated red teaming, guardrails, CI/CD scanning |
| Self-Hosting | Yes (MIT license) | Yes (on-premise available) |
| Integrations | LangChain, Vercel AI SDK, LiteLLM, 100+ frameworks | GitHub, GitLab, Jenkins, VS Code, JetBrains |
| News Highlight | Multi-modal datasets; Monitors & Alerts | Acquired by OpenAI; ModelAudit launched |
Choose Promptfoo if your priority is AI security — automated red teaming, guardrails, and CI/CD scanning against 50+ attack types, backed by recent OpenClaw injection analysis and ModelAudit launch. Choose Langfuse if you need production LLM observability, prompt management, and evaluations with deep framework integration (100+), now with multi-modal datasets and monitors/alerts. Both are open-source, but Promptfoo leans security-first while Langfuse is engineering-first.

Open-source LLM observability that traces, evaluates, and manages prompts from prototype to production.
Visit WebsiteWho should pick which
- Enterprise security engineerPick: Promptfoo
Automated red teaming for 50+ attack types, CI/CD integration, and guardrails — recently demonstrated OpenClaw injection analysis.
- ML platform engineerPick: Langfuse
Hierarchical traces, cost/latency dashboards, and integration with 100+ frameworks like LangChain and Vercel AI SDK.
- Solo developer building an agentPick: Langfuse
Free self-hosted option with prompt management, playground, and eval — quick to start with lightweight SDKs.
- Compliance team (FINRA/HIPAA)Pick: Promptfoo
Security testing aligned with financial/healthcare regulations, with on-premise deployment and remediation PRs.
- Team scaling AI to billions of callsPick: Langfuse
ClickHouse-backed scalability, self-hosting under MIT, and new monitors/alerts for cost and quality.
Frequently Asked Questions
Langfuse vs Promptfoo: which should you choose?
Choose Promptfoo if your priority is AI security — automated red teaming, guardrails, and CI/CD scanning against 50+ attack types, backed by recent OpenClaw injection analysis and ModelAudit launch. Choose Langfuse if you need production LLM observability, prompt management, and evaluations with deep framework integration (100+), now with multi-modal datasets and monitors/alerts. Both are open-source, but Promptfoo leans security-first while Langfuse is engineering-first.
Can I self-host both tools?
Yes, both offer self-hosting. Promptfoo provides on-premise deployment (Enterprise). Langfuse is self-hostable under MIT license via Docker/Kubernetes.
Which tool is better for AI security?
Promptfoo is purpose-built for AI security with automated red teaming, guardrails, and CI/CD scanning. Langfuse focuses on observability, not security testing.
Do both support LLM evaluations?
Yes. Promptfoo uses automated red teaming probes and assertions. Langfuse uses LLM-as-a-judge, heuristic functions, and human annotation.
Which integrates with LangChain?
Langfuse has deep LangChain integration. Promptfoo supports OpenAI, Anthropic, and MCP but doesn't list LangChain.
What is the latest major update for Promptfoo?
Promptfoo was acquired by OpenAI, launched ModelAudit for ML file scanning, and added indirect prompt injection testing for web agents.
What is the latest major update for Langfuse?
Langfuse released multi-modal datasets, monitors & alerts, an AI assistant (public beta), and a filter search bar.
Which is more cost-effective for a startup?
Both have free tiers. Langfuse's free cloud tier and MIT-licensed self-hosting can be more cost-effective for startups without enterprise security needs.
Do they offer CI/CD integration?
Promptfoo integrates with GitHub, GitLab, and Jenkins. Langfuse integrates via GitHub Actions (alerts) but is less CI/CD-focused.
More Langfuse or Promptfoo comparisons
Choose Langfuse if your priority is observability, debugging, and prompt management for production LLM apps, with a need for multi-modal evals and alerts. Choose LangGraph if you're building complex,
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
Choose Promptfoo if your top priority is automated red teaming and LLM vulnerability detection in production—especially for regulated industries. Choose MLflow if you need a comprehensive open-source
If you need to centrally manage and route requests across 100+ LLMs with cost tracking and fallbacks, LiteLLM is your gateway. If you need deep observability, prompt management, and evaluations for pr
If you need a single open-source platform that covers both traditional ML (experiment tracking, model registry) and LLM agents (tracing, prompt versioning, AI Gateway), choose MLflow. If your primary
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: May 12, 2026
