LangfuseOpen Source Agent Evals & Observability
vs
MetaflowA framework for real-life ML, AI, and data science
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Metaflow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Metaflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.6 versus 0.3 for Langfuse.
Choose Langfuse if…
- AI answers describe it more positively (50% vs 0% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
Choose Metaflow if…
- You want the brand AI engines rank higher (0.6 vs 0.3)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Metaflow |
|---|---|---|
| Visibility score | 0.3% | 0.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #45 |
| Share of voice | 0.2% | 0.3% |
| Mentions this run | 1 | 2 |
| Positive in AI answers | 50% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · Metaflow 0pp over 0 weekly runs.
Engine by engine
Metaflow leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseMetaflow
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Metaflow ranked higher
Features, pricing & fit
| Dimension | Langfuse | Metaflow |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $29 / mo | — |
| Free plan | Yes | — |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Runs on the customer's own AWS, Azure, or Google Cloud account, or on an on-premise Kubernetes cluster. The Outerbounds Platform is a managed service that runs in the customer's AWS account. |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | — |
| Support | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans | — |
| Founded | — | 2019 |
| Headquarters | — | 548 Market Street, San Francisco |
| Employees | — | 11–50 |
| Funding | Seed · $4M raised | Early-stage VC round · $24M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | ML/AI engineers and data scientists who build real-life ML, AI, and data science projects and need to move from laptop to production. |
Plans side by side
Metaflow
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Metaflow
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Metaflow”, https://slateindex.ai/compare/langfuse-vs-metaflow, data of Nov 2, 2026. Licence: CC BY 4.0.