LangfuseOpen Source Agent Evals & Observability
vs
Neptune.aiExperiment tracker purpose-built for foundation model training.
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Neptune.ai
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Neptune.ai is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.6 versus 0.3 for Langfuse.
Choose Langfuse if…
- You need more native integrations (100+ vs 25+)
- AI answers describe it more positively (50% vs 25% positive)
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
Choose Neptune.ai if…
- You want the brand AI engines rank higher (2.6 vs 0.3)
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Neptune.ai |
|---|---|---|
| Visibility score | 0.3% | 2.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #24 |
| Share of voice | 0.2% | 0.6% |
| Mentions this run | 1 | 4 |
| Positive in AI answers | 50% | 25% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · Neptune.ai 0pp over 0 weekly runs.
Engine by engine
Neptune.ai leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseNeptune.ai
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Neptune.ai ranked higher
Features, pricing & fit
| Dimension | Langfuse | Neptune.ai |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $29 / mo | — |
| Free plan | Yes | — |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Hosted service by default, with a self-hosted option on-premises or on AWS, Google Cloud or Azure as a Kubernetes cluster, deployed as microservices via a Helm chart. |
| Integrations | 100+ | 25+ |
| 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 | — |
| Founded | — | 2017 |
| Headquarters | — | Palo Alto, California, United States |
| Employees | — | 51–200 |
| Funding | Seed · $4M raised | Series A · $18M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs. |
Plans side by side
Neptune.ai
Pricing not available.
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
Neptune.ai
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Neptune.ai”, https://slateindex.ai/compare/langfuse-vs-neptune-ai, data of Nov 2, 2026. Licence: CC BY 4.0.