LangfuseOpen Source Agent Evals & Observability
vs
PrefectWorkflow orchestration for data, ML, and agents
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Prefect
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Prefect 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 lower entry price ($29 vs $100)
- AI answers describe it more positively (50% vs 0% positive)
- You need a self-hosted or on-premises option
- You need ISO 27001 or HIPAA-ready region or GDPR coverage
Choose Prefect if…
- You want the brand AI engines rank higher (0.7 vs 0.3)
- You need GDPR compliant coverage
- Per seat pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Prefect |
|---|---|---|
| Visibility score | 0.3% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #42 |
| 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 · Prefect 0pp over 0 weekly runs.
Engine by engine
Prefect leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfusePrefect
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Prefect ranked higher
Features, pricing & fit
| Dimension | Langfuse | Prefect |
|---|---|---|
| Pricing model | Usage-based | Per seat |
| Entry price | Free; paid from $29 / mo | Free; paid from $100 per seat / mo |
| Free plan | Yes | Yes |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Prefect Cloud fully managed with Prefect Serverless compute, or hybrid with lightweight workers inside the customer's own VPC |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | SOC 2 Type II, GDPR compliant |
| 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 | Community forum, Email, Priority support with 30-minute response SLA on enterprise plans |
| Founded | — | 2018 |
| Headquarters | — | Washington, DC |
| Employees | — | 51–200 |
| Funding | Seed · $4M raised | Series B · $47M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Python data, ML, and agent teams that want durable production workflows without hosting their own scheduler |
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
Prefect
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Prefect”, https://slateindex.ai/compare/langfuse-vs-prefect, data of Nov 2, 2026. Licence: CC BY 4.0.