AnyscaleProduction-scale AI with Ray
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Anyscale vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Anyscale is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.6 versus 0.3 for Langfuse.
Choose Anyscale if…
- You want the brand AI engines rank higher (0.6 vs 0.3)
- You need ISO/IEC 27001 coverage
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
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Anyscale | Langfuse |
|---|---|---|
| Visibility score | 0.6% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #43 | #51 |
| Share of voice | 0.3% | 0.2% |
| Mentions this run | 2 | 1 |
| 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
Anyscale 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Anyscale leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
AnyscaleLangfuse
Head to head in AI answers
0 engine answers name both brands
0Anyscale ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Anyscale | Langfuse |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Contact sales | Free; paid from $29 / mo |
| Free plan | No | Yes |
| Deployment | Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray | 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 | San Francisco, California, USA | — |
| Employees | 201–500 | — |
| Funding | Series C (second tranche) | Seed · $4M raised |
| Best for | Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Anyscale
Pay as you goCustomusage (compute hours)
Committed contractsCustomcontact sales
Pros and cons
Themes from the AI answers that mention each brand
Anyscale
Profile in progress.
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Anyscale vs Langfuse”, https://slateindex.ai/compare/anyscale-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.