About
Comet provides a comprehensive AI developer platform built around two core offerings: Opik, its open-source GenAI observability and evaluation platform, and a full-featured MLOps platform for experiment tracking and production monitoring. Trusted by over 150,000 developers and 10,000+ teams, Comet helps AI teams ship measurable improvements to their agentic systems with speed and confidence. Opik enables developers to log LLM traces across complex GenAI pipelines — capturing context retrieval, tool selection, user feedback, and more — with near-instant visibility even at high volumes. Teams can invite subject matter experts to annotate and review traces, pinpointing where to iterate. Automated evaluation metrics score new versions of LLM apps against hallucination, context precision, and relevance, using example datasets teams define. For production, Opik runs online evals on live traffic as it's generated, enabling rapid detection and mitigation of regressions. The auto-optimization feature automatically generates and tests prompt variants for each step in an agentic system, recommending top performers based on custom metrics. Comet supports flexible hosting — self-hosted OSS, cloud, or custom enterprise deployments — and integrates with just a few lines of code. It is ideal for ML engineers, AI researchers, and enterprise teams building and scaling LLM applications and autonomous agents.
Key Features
- LLM Trace Logging & Observability: Log and visualize traces across your entire GenAI pipeline — including context retrieval, tool calls, and model responses — with near-instant availability even at scale.
- Automated LLM Evaluation Metrics: Auto-score new versions of your LLM app or agent against custom datasets using built-in metrics for hallucination, context precision, relevance, and more.
- Auto-Optimization for Agentic Systems: Automatically generate, test, and rank prompt variants for every step in your agentic workflow based on your own datasets and performance metrics.
- Human Feedback Annotation: Invite subject matter experts to spot-check and annotate traces directly inside the platform, collaboratively identifying what to improve.
- Production Monitoring & Online Evals: Score live production data as it's generated to detect regressions early and generate actionable test datasets for the next iteration cycle.
Use Cases
- Debugging complex LLM pipelines by logging and visualizing traces across multi-step agentic workflows.
- Running automated evaluations to compare new prompt versions against a golden dataset for hallucination, relevance, and context precision.
- Monitoring production AI applications in real time to detect quality regressions and gather new training data.
- Collaborating with domain experts to annotate and review LLM outputs and identify failure modes.
- Auto-optimizing agent prompts by automatically testing variants and surfacing the best performers based on custom metrics.
Pros
- Truly Open Source: Opik is fully open source with 18,000+ GitHub stars, offering self-hosting flexibility without vendor lock-in.
- Fast Integration: Add just a few lines of code to your existing LLM project to start tracking traces and running evaluations immediately.
- Enterprise-Grade Reliability: Backed by Comet's battle-tested infrastructure, Opik meets the security and performance demands of the world's largest organizations.
- End-to-End Coverage: Covers the full AI development lifecycle from experimentation and evaluation to production monitoring and continuous improvement.
Cons
- Learning Curve for Full Platform: The breadth of features across Opik and the MLOps platform can be overwhelming for teams new to AI observability tooling.
- Advanced Features Require Paid Plans: Enterprise-grade security, custom deployments, and higher usage limits are gated behind paid tiers.
- Self-Hosting Requires DevOps Effort: Running the open-source version in production requires infrastructure knowledge and ongoing maintenance.
Frequently Asked Questions
What is Opik and how does it relate to Comet?
Opik is Comet's open-source GenAI observability and evaluation platform. It is the primary product for LLM trace logging, automated evaluations, and production monitoring, while Comet also provides an MLOps platform for traditional machine learning experiment tracking.
Is Comet / Opik free to use?
Yes, Opik has a free cloud tier and a fully open-source self-hosted version. Paid plans and enterprise options are available for higher usage volumes and advanced security features.
What LLM frameworks does Opik integrate with?
Opik integrates with popular frameworks including LlamaIndex, LangChain, and any custom LLM pipeline via its Python SDK with just a few lines of code.
Can I use Comet for traditional ML as well as LLM apps?
Yes. Comet's MLOps platform supports experiment tracking, hyperparameter logging, and model prediction monitoring for traditional machine learning workloads, while Opik focuses on GenAI and LLM use cases.
What hosting options are available?
Opik can be used via the Comet cloud (managed SaaS), self-hosted using the open-source version, or deployed with custom enterprise infrastructure options available through Comet's sales team.
