LangfuseOpen Source Agent Evals & Observability
vs
SuperAnnotateThe AI data infra built for production
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs SuperAnnotate
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
SuperAnnotate is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.1 versus 0.3 for Langfuse.
Choose Langfuse if…
- You want a free plan to start
- You need a self-hosted or on-premises option
- You need ISO 27001 or HIPAA-ready region or GDPR coverage
- Usage-based pricing suits your budget better than flat tiers
Choose SuperAnnotate if…
- You want the brand AI engines rank higher (2.1 vs 0.3)
- You need ISO 27001:2022 coverage
- Flat tiers pricing suits your budget better than usage-based
- high rating from many reviews
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | SuperAnnotate |
|---|---|---|
| Visibility score | 0.3% | 2.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #28 |
| Share of voice | 0.2% | 0.3% |
| Mentions this run | 1 | 2 |
| 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 · SuperAnnotate 0pp over 0 weekly runs.
Engine by engine
SuperAnnotate leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseSuperAnnotate
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0SuperAnnotate ranked higher
Features, pricing & fit
| Dimension | Langfuse | SuperAnnotate |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Free; paid from $29 / mo | Contact sales |
| Free plan | Yes | No |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | — |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | SOC 2 Type II, ISO 27001:2022 |
| 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 | Dedicated Slack channel (Pro and Enterprise plans), Dedicated customer success manager (Pro and Enterprise plans), Dedicated solutions engineer (Enterprise plan), AI DataOps consulting (Enterprise plan) |
| Founded | — | 2018 |
| Headquarters | — | Silicon Valley, California |
| Funding | Seed · $4M raised | Series B extension (Dell Technologies Capital) · $50M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Frontier AI teams and well-established enterprises running recurring, high-volume AI data projects. |
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
SuperAnnotate
- high rating from many reviews
- well suited to data labeling and annotation workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs SuperAnnotate”, https://slateindex.ai/compare/langfuse-vs-superannotate, data of Nov 2, 2026. Licence: CC BY 4.0.