Langfuse vs OpenLLMetry
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Langfuse
Open-source LLM observability, tracing and evals
Visit
|
OpenLLMetry
Open-source OpenTelemetry tracing for LLM apps
Visit
|
|
|---|---|---|
| RECATOOLS Score | 8.4 / 10 | 7 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | Self-host free under MIT (enterprise modules need a key); cloud Hobby plan free with 50k units/month, 30 days data access, 2 users | OpenLLMetry is free and open source (Apache-2.0); Traceloop's hosted free tier covers up to 50K spans a month with 24-hour retention |
| Paid from | $29/month (Langfuse Cloud Core) | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2023 | 2023 |
| Maker | ClickHouse, Inc. | ServiceNow |
| Verdict | Langfuse covers the core of LLM observability: nested traces with cost and latency, prompt versioning, datasets, experiments and LLM-as-judge evaluators, through framework-agnostic SDKs and OpenTelemetry. The MIT core se... |
OpenLLMetry is the sensible default if you already run OpenTelemetry: a pip install and one init line, and your LLM calls show up as standard spans in the backend you already use. Coverage of providers, vector databases... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.