helicone vs langfuse

Common questions

What is the difference between helicone and langfuse?

helicone: Open source LLM observability platform. langfuse: Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.. See the comparison table for live GitHub stats and shared categories.

When should I choose helicone over langfuse?

Choose helicone over langfuse when License: helicone is Apache-2.0, langfuse is Other; Both Helicone and Langfuse are observability platforms for AI/LLMs providing evaluation, metrics, and monitoring; Tags unique to helicone: agent-monitoring, gpt, langchain, large-language-models; When you need to monitor and evaluate the performance of large language models in real-time.

When should I choose langfuse over helicone?

Choose langfuse over helicone when License: langfuse is Other, helicone is Apache-2.0; Both Helicone and Langfuse are observability platforms for AI/LLMs providing evaluation, metrics, and monitoring; Tags unique to langfuse: llm-observability, monitoring, open-source, prompt-engineering; 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 avoid helicone?

If your project requires proprietary or closed-source tools, as Helicone is open-source and can be self-hosted. When you need a platform that does not require setting up an API key and modifying your codebase to integrate monitoring. If you are looking for a solution that does not support a wide range of models through a single API, and you prefer platform-specific tools. For users who do not want to manage their own infrastructure, as Helicone offers self-hosting options which require local setup and maintenance.

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.

Is helicone or langfuse more popular on GitHub?

langfuse has more GitHub stars (34,763 vs 6,162). Stars measure visibility, not whether either tool fits your constraints.

Are helicone and langfuse open source?

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

Where can I find alternatives to helicone or langfuse?

GraphCanon lists graph-backed alternatives at helicone alternatives and langfuse alternatives (helicone 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, helicone or langfuse?

helicone: 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 helicone and langfuse?

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