langfuse vs langtrace

Common questions

What is the difference between langfuse and langtrace?

langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. langtrace: Open Telemetry based observability tool for LLM applications. See the comparison table for live GitHub stats and shared categories.

When should I choose langfuse over langtrace?

Choose langfuse over langtrace when License: langfuse is Other, langtrace is AGPL-3.0; 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.; Graph edge: langfuse is a typed related of langtrace - see the relationship row above; Tags unique to langfuse: analytics, evaluation, prompt management, self-hosted; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.

When should I choose langtrace over langfuse?

Choose langtrace over langfuse when License: langtrace is AGPL-3.0, langfuse is Other; Graph edge: langtrace is a typed related of langfuse - see the relationship row above; Tags unique to langtrace: ai, datasets, evaluations, gpt; When developing or using LLMs and frameworks where end-to-end visibility into every aspect of model performance is crucial.

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 langtrace?

For teams that do not require real-time tracing and evaluations, as implementing Langtrace might introduce unnecessary overhead. When working with non-LLM AI applications or other machine learning models, Langtrace’s specialized features for large language models may not provide much value.

Is langfuse or langtrace more popular on GitHub?

langfuse has more GitHub stars (32,271 vs 1,228). Stars measure visibility, not whether either tool fits your constraints.

Are langfuse and langtrace open source?

Yes - both are open-source projects on GitHub (langfuse: Other, langtrace: AGPL-3.0).

Where can I find alternatives to langfuse or langtrace?

GraphCanon lists graph-backed alternatives at langfuse alternatives and langtrace alternatives (langfuse markdown twin, langtrace 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 langtrace?

langfuse: Very active. langtrace: Slowing. 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 langtrace?

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