# OpenLIT vs Langfuse

Both are open-source LLM observability tools. OpenLIT is built natively on OpenTelemetry standards with GPU monitoring and broader infrastructure coverage. Here is a detailed comparison.

| Feature | OpenLIT | Langfuse |
| --- | --- | --- |
| Core Architecture |  |  |
| OpenTelemetry-native |  | OTel ingestion added in v3; primary SDK is proprietary |
| Open Source | Apache 2.0 | MIT (core) + EE (enterprise) |
| Self-hostable |  |  |
| Cloud-managed option | Coming soon |  |
| Vendor-neutral data export |  | Via OTel export (v3+) |
| LLM Monitoring |  |  |
| Token usage tracking |  |  |
| Cost per request |  |  |
| Latency / p95 metrics |  |  |
| Prompt & response logging |  |  |
| Streaming support |  |  |
| 60+ integrations (LLMs, frameworks, VectorDBs, GPUs) |  | Relies on OTel SDKs or manual instrumentation |
| Infrastructure Monitoring |  |  |
| GPU monitoring (NVIDIA + AMD) |  |  |
| Vector DB tracing |  |  |
| Multi-environment tagging |  |  |
| Organisation management |  |  |
| Developer Tools |  |  |
| Prompt Hub (versioning) |  |  |
| Evaluations |  |  |
| Secrets Vault |  |  |
| Fleet Hub (multi-deployment) |  |  |
| Custom model pricing |  |  |
| Observability Backends |  |  |
| Grafana / Prometheus export |  | Via OTel (v3+) |
| Datadog export |  |  |
| Any OTLP-compatible backend |  | Via OTel (v3+) |

## Choose OpenLIT when…

- You need GPU monitoring for self-hosted LLMs (Ollama, vLLM) on NVIDIA or AMD hardware
- You want a fully OTel-native stack where every span is a standard OpenTelemetry span
- You need Vector DB observability alongside LLM monitoring
- You want Vault, Fleet Hub, and 60+ auto-instrumented integrations in one platform
- You are already using OpenTelemetry and want data to flow to any OTLP backend

## Choose Langfuse when…

- You want a mature cloud SaaS with a larger community and dedicated support tiers
- Your primary workflow centres on human annotation, labelling, and feedback loops
- You need a polished evaluation and dataset management UI with fine-grained scoring

## More Comparisons

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