langfuse vs openllmetry

Common questions

What is the difference between langfuse and openllmetry?

langfuse: Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.. openllmetry: Open-source observability for GenAI or LLM applications based on OpenTelemetry. See the comparison table for live GitHub stats and shared categories.

When should I choose langfuse over openllmetry?

Choose langfuse over openllmetry when langfuse is primarily TypeScript; openllmetry is Python; License: langfuse is Other, openllmetry is Apache-2.0; Both platforms offer observability and evaluation tools specifically for LLM applications, making them alternatives to each other; Tags unique to langfuse: analytics, evaluation, llm-observability, monitoring; langfuse ships Docker support for self-hosted deployment; When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.

When should I choose openllmetry over langfuse?

Choose openllmetry over langfuse when openllmetry is primarily Python; langfuse is TypeScript; License: openllmetry is Apache-2.0, langfuse is Other; Both platforms offer observability and evaluation tools specifically for LLM applications, making them alternatives to each other; Tags unique to openllmetry: artifical-intelligence, datascience, generative-ai, llm; When you are working on GenAI or LLM applications and need observability features that are specifically tailored for these types of applications.

When should I avoid langfuse?

If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself. When you need enterprise features that are not covered by the open-source version, as the ee folders are not open-source and may require additional licensing or services.

When should I avoid openllmetry?

If your application is not in Python, as OpenLLMetry's primary support is for Python applications, limiting its utility for other languages. When you need a tool that offers more than just observability features, as OpenLLMetry focuses specifically on monitoring and metrics for GenAI and LLM applications and may not cover other aspects of

Is langfuse or openllmetry more popular on GitHub?

langfuse has more GitHub stars (34,763 vs 7,438). Stars measure visibility, not whether either tool fits your constraints.

Are langfuse and openllmetry open source?

Yes - both are open-source projects on GitHub (langfuse: Other, openllmetry: Apache-2.0).

Where can I find alternatives to langfuse or openllmetry?

GraphCanon lists graph-backed alternatives at langfuse alternatives and openllmetry alternatives (langfuse markdown twin, openllmetry markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, langfuse or openllmetry?

langfuse: Very active. openllmetry: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for langfuse and openllmetry?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfuse trust report; openllmetry trust report.