Compare 4 reviewed substitutes for Helicone
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LLM tracing and evaluation built on OpenTelemetry — run it in a notebook, a container or the free Phoenix Cloud tier, and keep the same spans when you move to Arize's commercial platform. Source-available under the Elastic Licence 2.0, not OSI open source.
Evaluation-first platform for AI products — scored evals in CI, a prompt playground over your own datasets, and production logging that feeds failures back into the next eval set.
Open-source LLM engineering platform — tracing, prompt management, evaluation and cost analytics for AI applications, self-hosted from one container or run as Langfuse Cloud.
LLM gateway that puts one OpenAI-shaped interface in front of a hundred-plus providers — run it as a Python SDK or as a self-hosted proxy with keys, budgets, rate limits and per-team spend tracking.
The top alternatives to Helicone include Arize Phoenix, Braintrust, Langfuse, LiteLLM. These observability & monitoring tools offer similar functionality with different pricing, features, and architectural approaches.
Helicone offers a free tier with limited features. Paid plans are available for additional functionality.
Consider your team size, budget, technical requirements, and existing stack. Compare features like scalability, integrations, pricing model, and community support. Our side-by-side comparison pages can help you evaluate specific pairs.
Helicone is a observability & monitoring tool. It competes with Arize Phoenix, Braintrust, Langfuse in the observability & monitoring space.