Galileo vs. OPIK
Opik & Galileo: LLM Evaluation Platform Comparison
Compare Opik and Galileo side by side to understand how each platform supports LLM & Agent evaluation, and optimization for modern AI applications.
Feature Comparison: Opik vs. Galileo
Opik and Galileo both offer LLM evaluation capabilities, Opik is built as a complete platform for developing and improving AI systems, while Galileo is more focused on measuring performance and enforcing reliability in production through evaluation workflows and guardrails.
| Feature | Details | Opik | Galileo |
|---|---|---|---|
| Open Source | Open-source and fully transparent with enterprise scalability |  Yes |  No |
| Observability | |||
| GenAI Tracing | Trace any AI application through a simple function decorator and 40+ integrations | Yes | Yes |
| Custom Dashboards | Build customizable views for monitoring LLM applications | Yes | No |
| Evaluation | |||
| Online Evaluation | Configure flexible online evaluation with LLM-as-a-judge or custom code metrics to evaluate live runs | Yes | Yes |
| Expert Annotation UI | Define feedback schemas, assign users to annotation queues, and track progress with a dedicated UI. | Yes | Basic |
| Multi-modal Evaluation | Evaluation support for image, video and audio within the UI | Yes | No |
| Experimentation | Run evaluations over datasets with custom & built-in metrics supporting RAG, agentic, multimodal, &conversational use cases | Yes | Yes |
| Development | |||
| Automated Agent Optimization | Automatically refine entire agents & prompts | Yes | No |
| Prompt Playground | Test & refine prompts and outputs from LLMs | Yes | Yes |
| Production | |||
| Production Monitoring | Production-scale LLM observability with metrics dashboards, alerts, and cost, latency, and usage tracking | Yes | Yes |
| Guardrails | Built-in guardrails for PII and restricted topics, as well as custom guardrails | Yes | Yes |
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.
Opik’s Advantages
Opik is built for teams developing and iterating on AI systems, not just evaluating them after deployment. It combines observability, evaluation, and optimization into a single workflow, making it easier to debug issues and improve performance over time. This is especially important for agent-based and multi-step applications, where visibility and iteration speed matter.
Agent Optimization
Built-in optimization for improving prompts, tools, and agent workflows
Agent Observability
Deep observability for agents, including tracing across spans, tool calls, and execution paths
Truly Open-Source
Open-source and framework-agnostic, with support for any model provider or stack
Galileo’s Advantages
Galileo is focused on evaluation and reliability in production. It provides structured workflows for measuring model performance and enforcing quality through guardrails. It’s best suited for teams that prioritize evaluation pipelines and production monitoring over development and iteration workflows.
Evaluation Models
Evaluation-specific models, for efficient scoring at scale
Guardrails
Strong guardrails for production, tied directly to LLM evaluation metrics
Evaluation Workflows
Dataset-driven evaluation workflows for structured testing and benchmarking
“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
Lead AI Engineer, Pattern
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