opik vs langfuse

Common questions

What is the difference between opik and langfuse?

opik: Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards. langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. See the comparison table for live GitHub stats and shared categories.

When should I choose opik over langfuse?

Choose opik over langfuse when opik is primarily Python; langfuse is TypeScript; License: opik is Apache-2.0, langfuse is Other; Pricing: Opik is available under the Apache-2.0 license and can be deployed freely using Docker or Kubernetes, with no explicit mention of premium cloud-based services.; Requirements: Compatible with Python environments.; Can be deployed via Docker for local use or Kubernetes for scalable installations.; Opik and Langfuse both provide AI observability, evaluation, metrics, and playground features for LLM applications; Tags unique to opik: llm-evaluation, llm-observability; - Use Opik when you need to deploy a self-hosted solution that offers granular control over your LLM monitoring setup.

When should I choose langfuse over opik?

Choose langfuse over opik when langfuse is primarily TypeScript; opik is Python; License: langfuse is Other, opik 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.; Opik and Langfuse both provide AI observability, evaluation, metrics, and playground features for LLM applications; Tags unique to langfuse: analytics, observability, open-source, prompt management; 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 avoid opik?

- Avoid using Opik if you prefer cloud-based deployment options where extensive self-hosting management may be less preferable or feasible. - Do not use Opik if your project does not involve LLM applications or RAG systems, as its specific features will offer little benefit in a narrower context.

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.

Is opik or langfuse more popular on GitHub?

langfuse has more GitHub stars (32,271 vs 21,177). Stars measure visibility, not whether either tool fits your constraints.

Are opik and langfuse open source?

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

Where can I find alternatives to opik or langfuse?

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

opik: Very active. langfuse: 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 opik and langfuse?

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