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Langfuse alternatives: Opik and Phoenix compared

Updated By Agent Radar5 min read

Short answer

Compare Opik and Phoenix as Langfuse alternatives: licenses, self-hosting, evals and prompt tooling from primary sources, checked 2026-10-14.

Top pick: Opik. Opik is an open-source platform for tracing, evaluating and improving LLM applications, with Docker and Kubernetes self-hosting documented. Its repository reports Apache-2.0.

Quick comparison

Rank order is editorial
Langfuse alternatives: Opik and Phoenix compared: quick comparison
PickLicensePricingSource
1.OpikApache-2.0Not statedGitHub
2.PhoenixNot statedNot statedGitHub

Opik and Phoenix are the two Langfuse alternatives covered here, checked 2026-10-14. Opik's sources state Apache-2.0 licensing, Docker and Kubernetes self-hosting, and an MCP server. Phoenix's sources stress evaluations, prompt tooling and experiments, and its repository license is not reported by the GitHub API.

Quick comparison

ToolBest fit (from sources)LicensePricing as statedPrimary source
OpikTracing, evaluation, production monitoring and prompt optimization, with self-hosting on Docker or KubernetesApache-2.0 (GitHub API)not statedGitHub, docs
PhoenixEvaluations, datasets, experiments and prompt managementnot stated (GitHub API reports no recognized license)not statedGitHub, docs

Why teams look for alternatives

The cited sources do not give reasons for leaving Langfuse, so treat the following as criteria to check rather than documented complaints.

  • License clarity. The Langfuse site says all product features are MIT licensed, while the GitHub API does not report a recognized license for the repository. Confirm which applies to your version before comparing.
  • Deployment control. Check whether each tool documents self-hosting and what infrastructure it expects.
  • Surface area. Check whether you need prompt optimization, dataset evaluators or IDE-agent access, and whether each option documents them.

For a broader feature comparison, see the LLM observability tools guide and Opik vs Langfuse. The current platform is described on the Langfuse hub.

How the options differ

Opik

Opik describes itself as an open-source platform for understanding, measuring and improving LLM applications. Its repository reports Apache-2.0 as the license.

Its docs describe deployment on your own infrastructure with Docker locally or Kubernetes at scale. They also say all Opik versions (cloud, open source, and enterprise) include the full AI engineering feature set.

On the feature side, the docs list tracing of LLM calls, tool invocations and agent steps, LLM-as-a-judge and heuristic metrics, prompt versioning with a Prompt Playground, and six optimization algorithms. An Opik MCP server connects tools such as Claude Code, Cursor, VS Code Copilot, Codex and opencode to a workspace.

Phoenix

Phoenix's docs list LLM-based evaluations, dataset evaluators, and evaluator integrations including Ragas, Deepeval and Cleanlab. They also list human annotations in the UI.

For prompts, the docs list prompt management, a Prompt Playground, Span Replay, and syncing prompts across environments via SDK. For experiments, they list running experiments and creating datasets from traces or from code/CSV.

The repository description is "AI Observability & Evaluation". The GitHub API reports no recognized license, and the excerpts we read do not state a self-hosting procedure or pricing.

Migration notes

Only the points below are documented in the sources. Everything else needs checking against each tool's own docs.

  • Trace instrumentation. Opik's docs say it works with OpenAI, Anthropic, LangChain and 50+ other providers and frameworks. The Langfuse site says it works with any language and framework supporting OTel instrumentation, plus 100+ integrations. Whether Opik or Phoenix ingest Langfuse-style OTel traces is not stated in the cited sources.
  • Data export. The Langfuse site says it has REST APIs for everything and will not lock in your data. Export formats and import paths into Opik or Phoenix are not stated in the cited sources.
  • Self-hosting. Opik documents Docker and Kubernetes deployment. Langfuse's site lists ClickHouse, a Redis queue and S3/Blob storage in its architecture; matching infrastructure for the alternatives is not stated.
  • Datasets and evals. Opik lets you turn traces into test cases via UI or SDK. Phoenix lets you collect traces into datasets or upload from code/CSV. Both are comparable concepts to Langfuse datasets and experiments, though automated conversion is not documented.
  • Prompts. Opik stores and versions prompts. Phoenix versions, stores and deploys prompts. Langfuse's prompt-management format compatibility is not stated.

How we compared

We read the GitHub repository metadata and the product documentation pages for Opik, Phoenix and Langfuse, all checked on 2026-10-14. We did not install, run or benchmark any of them, and we did not verify performance, scale, pricing or cloud availability.

Limitations

  • No pricing is stated in the cited sources for Opik or Phoenix, so we make no free-tier or cost claims. A permissive repository license does not make hosted use free.
  • Phoenix's license is not reported by the GitHub API; check the repository directly.
  • Langfuse's license is reported as MIT on its site but not recognized by the GitHub API.
  • No migration tooling, API compatibility or feature-parity statements appear in the excerpts.
  • Adoption figures on the Langfuse site are vendor claims and are not compared here.

Explore the Agent infra category, the Langfuse, Opik and Phoenix hubs, and the latest launches: Opik 2.2.97 and Phoenix v20.21.0.

The picks

In rank order
  1. Rank 1

    Opik

    Apache-2.0Open source

    Opik is an open-source platform for tracing, evaluating and improving LLM applications, with Docker and Kubernetes self-hosting documented. Its repository reports Apache-2.0.

    Pros

    • Apache-2.0 license reported by the GitHub API
    • Self-hosting on Docker or Kubernetes documented
    • MCP server for Claude Code, Cursor, VS Code Copilot, Codex and opencode

    Cons

    • Pricing not stated in the cited sources
    • Compatibility with Langfuse trace data not stated in the cited sources
  2. Rank 2

    Phoenix

    Phoenix is an AI observability and evaluation tool whose docs list evaluators, datasets, experiments and prompt management.

    Pros

    • Evaluator integrations include Ragas, Deepeval and Cleanlab
    • Prompt Playground, Span Replay and prompts-in-code sync documented
    • Datasets can be built from traces or uploaded from code/CSV

    Cons

    • License not reported by the GitHub API
    • Pricing and self-hosting steps not stated in the cited sources

Questions

What are the best Langfuse alternatives?

This guide covers Opik and Phoenix. Opik's sources document Apache-2.0 licensing and Docker/Kubernetes self-hosting; Phoenix's sources document evaluators, datasets, experiments and prompt tooling. No winner is declared.

Are there open source Langfuse alternatives?

Opik describes itself as open source and its repository reports Apache-2.0. Phoenix's GitHub API does not report a recognized license, so confirm it directly in the repository.

Are there free Langfuse alternatives?

Pricing is not stated in the cited sources for Opik or Phoenix. Opik's docs say you can self-host on your own infrastructure, but hosted pricing is not stated.

Is there a Langfuse alternative for LangChain users?

Opik's docs say it works with OpenAI, Anthropic, LangChain and 50+ other providers and frameworks. Phoenix's repository topics include langchain and llamaindex.

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