Opik

NewVerified

Monitor and evaluate LLM applications with tracing and testing.

7.7 (49.26 score)

open-sourceAPI Available

Overview

Opik is an open-source platform for observability and evaluation of LLM applications. It helps teams trace model calls, debug issues, and run evaluations to improve application quality. Built for developers working with production language models who need visibility into model behavior and performance metrics.

Pros

Open-source with self-hosting options for privacy
Comprehensive tracing to debug LLM chains and workflows
Built-in evaluation framework with customizable metrics
Integrates with popular frameworks like LangChain and LlamaIndex
Real-time monitoring dashboard for production applications

✕ Cons

Smaller community compared to enterprise alternatives
Self-hosting requires infrastructure management expertise
Learning curve for complex evaluation configurations

Key Features

LLM call tracing and logging

Evaluation framework with metrics

Production monitoring dashboard

Feedback collection and logging

Experiment tracking and comparison

API for programmatic access

Use Cases

Engineering teams debugging production LLM applicationsData scientists evaluating model performance iterativelyTeams comparing LLM providers and model versionsOrganizations implementing LLM quality assurance workflows

Best For

ML Engineers & MLOps TeamsLLM Application DevelopersData Science TeamsAI Product ManagersQuality Assurance Engineers

Frequently Asked Questions

What is the pricing model for Opik?▾

Opik offers both open-source and commercial versions. The open-source version is free to self-host, while commercial pricing depends on your usage scale and production monitoring needs—contact their sales team for specific quotes.

How steep is the learning curve for setting up Opik?▾

Opik is designed for technical teams with Python/ML experience. Setup involves integrating the SDK into your codebase and configuring evaluation metrics, which typically takes a few hours for basic use cases but varies based on your infrastructure complexity.

Does Opik integrate with other MLOps tools and APIs?▾

Opik provides Python SDK and REST APIs for integration with popular frameworks and LLM platforms. It works well in ecosystems where you're already using tools like Langchain, OpenAI APIs, or custom inference pipelines.

What are the main limitations of Opik?▾

Opik is best suited for teams with solid ML infrastructure knowledge; it's not a no-code solution. Coverage may be limited for non-standard or proprietary LLM architectures, and real-time monitoring at scale can require careful resource planning.

What is the ideal use case for Opik?▾

Opik is ideal for teams building production LLM applications who need to evaluate model outputs, track performance from development through production, and calibrate quality before deployment without sacrificing observability.