LangfuseOpen Source Agent Evals & Observability
vs
NannyMLEstimate your model performance in production without ground truth.
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs NannyML
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Langfuse is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.3 versus 0 for NannyML.
Choose Langfuse if…
- You want the brand AI engines rank higher (0.3 vs 0)
- You want a lower entry price ($29 vs $399)
- 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
Choose NannyML if…
- Flat tiers pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | NannyML |
|---|---|---|
| Visibility score | 0.3% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #60 |
| Share of voice | 0.2% | 0% |
| Mentions this run | 1 | 0 |
| Positive in AI answers | 50% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · NannyML 0pp over 0 weekly runs.
Engine by engine
Langfuse leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseNannyML
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0NannyML ranked higher
Features, pricing & fit
| Dimension | Langfuse | NannyML |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Free; paid from $29 / mo | Free; paid from $399 / mo |
| Free plan | Yes | Yes |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | SaaS, or deployed in the customer's own cloud via NannyML Cloud; self-managed via the open-source library |
| 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 | Email, Private Slack, 24/7 support, Dedicated data scientist |
| Headquarters | — | Leuven, Belgium |
| Employees | — | 11–50 |
| Funding | Seed · $4M raised | Pre-seed · $2M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Data science teams that need to monitor machine learning models after deployment |
Plans side by side
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
NannyML
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs NannyML”, https://slateindex.ai/compare/langfuse-vs-nannyml, data of Nov 2, 2026. Licence: CC BY 4.0.