langfuse vs openllmetry

Common questions

What is the difference between langfuse and openllmetry?

langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. openllmetry: Open-source observability for GenAI and 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; Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content; Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment.; Both platforms offer observability and evaluation tools specifically for LLM applications, making them alternatives to each other; Tags unique to langfuse: analytics, evaluation, observability, open-source; langfuse ships Docker support for self-hosted deployment; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.

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, good-first-issue; Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry.

When should I avoid langfuse?

Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management. If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it may not be the optimal choice.

When should I avoid openllmetry?

Avoid using openllmetry in environments where dependency on Python is undesirable or where alternative languages are prioritized beyond Python's ecosystem. Do not select openllmetry if you prefer tools that offer broader customization options for core observability features, as it specializes in integration with OpenTelemetry.

Is langfuse or openllmetry more popular on GitHub?

langfuse has more GitHub stars (32,271 vs 7,377). 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.