Compare
OpenLIT vs Langfuse
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
Get started
Ready to use the OpenLIT UI in production?
Self-host or connect your stack in minutes. Same harness UI for traces, dashboards, prompts, and evaluations.