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  5. Langfuse vs. Opik

langFUSE vs. OPIK

Opik & Langfuse: LLM Evaluation Platform Comparison

Compare the features, integrations, and strengths of Opik and Langfuse across evaluation, observability, and agent optimization.

comparison of Opik and langfuse

Opik vs. Langfuse Feature Comparison

Opik and Langfuse are open source platforms that take two distinct approaches to supporting GenAI development. Opik provides end-to-end coverage from development to production, with an emphasis on LLM testing, observability, and optimization through prompt and tool tuning. Langfuse, by contrast, focuses on improving developer workflows during the build phase through structured prompt management and customizable dashboards for LLM observability.

FeatureDetailsOpikLangfuse
Observability
LLM TracingLog LLM calls, responses, metadata, & user feedback scorescheckmarkYescheckmarkYes
Multi-Modal EvaluationEvaluation support for images & videoscheckmarkYescrossNo
Token & Cost TrackingVisibility into key metricscheckmarkYescheckmarkYes
AI Framework IntegrationsNative integrations with model providers & various frameworkscheckmarkYescheckmarkYes
OpenTelemetry IntegrationNative support with OpenTelemetrycheckmarkYescheckmarkYes
Evaluation
Custom MetricsCreate your own LLM-as-a-Judge, or criteria-based metrics for evaluationcheckmarkYescheckmarkYes
Built-In Evaluation MetricsOut-of-the-box scoring and grading systemscheckmarkYesPartial
Evaluation/ Experiment DashboardInterface to monitor evaluation resultscheckmarkYesPartial
Automated Dataset ExpansionAutomatically expand datasets for robust evaluationcheckmarkYescrossNo
Agent EvaluationEvaluate complex AI apps and agentic systemscheckmarkYesPartial
Evaluation and Human Feedback for ConversationsTrack annotator insights & scores in productioncheckmarkYescrossNo
Human Feedback MonitoringTrack annotator insights & scores in productioncheckmarkYescheckmarkYes
Prompt PlaygroundTest & refine prompts and outputs from LLMscheckmarkYescheckmarkYes
Agent Optimization
Automated Agent OptimizationAutomatically refine entire agents & promptscheckmarkYescrossNo
Tool OptimizationOptimize how agents use toolscheckmarkYescrossNo
Production
Online EvaluationScore production traces and identify errors within LLM appscheckmarkYescheckmarkYes
AlertingConfigurable alertscheckmarkYesPartial
TypeScript & JavaScript SDKDeveloper SDK for JavaScript and TypeScriptcheckmarkYescheckmarkYes
In-Platform AI AssistantEmbedded assistant to guide workflowscheckmarkYescrossNo

These Are Just the Highlights

Explore the full range of Opik’s features and capabilities in our developer documentation or check out the full repo on GitHub.

GitHub
Documentation

Opik’s Advantages

Opik sets itself apart with advanced GenAI optimization and highly flexible evaluation workflows, supporting a wide variety of agent frameworks, evaluation types, and production-level observability workflows. It excels at performance tuning, thread-level feedback, multimodal applications, and multi-agent optimization for complex GenAI environments.

Agent & Prompt Optimization

Opik’s Agent Optimizer offers six unique optimization algorithms to generate and refine the best prompts for each step in your agentic system.

Frameworks & Integrations

Opik integrates with 12+ agent frameworks and model providers, including support for LangGraph, CrewAI, AutoGen, OpenAI, and Hugging Face.

Evaluation Flexibility

Support for human feedback annotation at the thread level, automated dataset expansion, thread-level evaluation functionality & custom Python code metrics.

Reliability in Production

Opik provides comprehensive multi-turn conversation handling with logging, human feedback, and evaluation metrics that are effective in production.

Langfuse’s Advantages

Langfuse has rich features for prompt and app management. It provides advanced features for organizing and labeling prompts, tracking environments, and sharing insights via customizable dashboards.

Prompt Management

Langfuse offers protected prompt labels, versioning controls, and folder-based prompt organization.

Observability Controls

Environment labels, user tracking, and customizable metric dashboards enable Langfuse to support stricter dev/prod observability practices.

Custom Dashboards & Visuals

Langfuse includes a drag-and-drop dashboard builder with custom widgets for time series, bar charts, and key performance metrics.

Public Projects

Langfuse allows you to publicly share traces or dashboards via URL for easy collaboration or external stakeholder review.

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“Opik being open-source was one of the reasons we chose it. Beyond the peace of mind of knowing we can self-host if we want, the ability to debug and submit product requests when we notice things has been really helpful in making sure the product meets our needs.”

Jeremy Mumford

Jeremy Mumford

Lead AI Engineer, Pattern

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