LangfuseOpen Source Agent Evals & Observability
vs
PositThe enterprise data science platform for R and Python teams
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Posit
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Posit is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.7 versus 0.3 for Langfuse.
Choose Langfuse if…
- You want a free plan to start
- 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
Choose Posit if…
- You want the brand AI engines rank higher (0.7 vs 0.3)
- Per seat pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Posit |
|---|---|---|
| Visibility score | 0.3% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #41 |
| Share of voice | 0.2% | 0.2% |
| 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 · Posit 0pp over 0 weekly runs.
Engine by engine
Posit leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfusePosit
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Posit ranked higher
Features, pricing & fit
| Dimension | Langfuse | Posit |
|---|---|---|
| Pricing model | Usage-based | Per seat |
| 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 | Self-managed on the customer's own servers, Kubernetes or cloud environments, and natively within Snowflake, AWS and Databricks |
| 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 | Support Agreement for commercial software, Documentation |
| Founded | — | 2009 |
| Headquarters | — | Boston, Massachusetts, USA |
| Employees | — | 201–500 |
| Funding | Seed · $4M raised | Series D |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Enterprise data science teams that build in R and Python and need IT governance over data, compute and packages |
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
Posit
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Posit”, https://slateindex.ai/compare/langfuse-vs-posit, data of Nov 2, 2026. Licence: CC BY 4.0.