Open-Source LLM Evaluation Platform | Opik by Comet | WarmIndex

Opik is an open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows with tracing, evals, and dashboards.

🚀 Overview

Opik is an end-to-end open-source LLM evaluation platform built by Comet to help AI developers log traces, run automated evaluations, optimize prompts, and monitor production LLM apps.

It solves the problem of opaque LLM behavior in complex chains, agents, and RAG pipelines, where debugging cause-and-effect is challenging without proper observability. Developers can trace every step, score outputs with LLM judges or custom metrics, and iterate confidently.

Built for developers prototyping to productionizing generative AI—from indie hackers to enterprise teams. Comet created Opik to democratize LLM observability, making advanced eval tools accessible and scalable via self-hosting or their cloud.

✨ Key Features

Tracing & Logging: Capture traces and spans for LLM calls, tools, and agents; search, annotate, and compare responses in an intuitive UI.
Automated Evaluations: Use pre-built LLM-as-judge metrics (hallucination, relevance, safety) or custom ones; run experiments on test sets.
Prompt Optimization: Automate engineering with Bayesian few-shot, evolutionary, or MetaPrompt optimizers.
Guardrails & Safety: Screen for PII, toxicity, off-topic content with built-in or third-party models.
Production Monitoring & CI/CD: Track live traces, generate datasets, run PyTest-based LLM unit tests.
Upcoming: Enhanced agent support, more integrations.

🛠 Tech Stack

Frontend: TypeScript
Backend: Python
Infrastructure: Docker, Docker Compose, Kubernetes (Helm)
Database: PostgreSQL, Redis (via infra services)
Auth: Custom (self-hosted)
Hosting: Self-hosted or Comet cloud
SDKs: Python, TypeScript, OpenTelemetry integrations (LangChain, LlamaIndex, etc.)

👥 Who Is This For?

This project is useful for:

Developers who want to trace and evaluate LLM apps without vendor lock-in
Teams looking for scalable production monitoring and optimization
Indie makers building RAG chatbots, code assistants, or AI agents

📸 Screenshots / Demo

Live demo: Self-host at http://localhost:5173 or sign up at https://www.comet.com
GitHub: https://github.com/comet-ml/opik

🔥 Project Status

🟢 Actively building

Last updated: 2026-03-24

❓ FAQ

Is this project free?

Yes — Open Source (Apache-2.0 License) (Free to self-host with all features; optional hosted on Comet.)

Is the source code available?

Yes — https://github.com/comet-ml/opik

Can I contribute?

Yes — Submit bug reports/feature requests via GitHub issues, pull requests following CONTRIBUTING.md, improve docs, or share feedback on Slack/Twitter.