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+) | |
OpenLIT