
Comet
AI agent and ML observability platform for tracing, evaluation, and monitoring.
Pricing
About Comet
Comet is a developer platform for building and evaluating AI agents and machine learning models, combining LLM observability with traditional ML experiment tracking under one product line. Its Opik platform lets developers log every step an AI agent takes using more than 60 integrations, automatically groups recurring errors found across large numbers of traces, and offers an assistant called Ollie that suggests fixes for problems in tool calls, context retrieval, or prompts. Teams can also run test suites against more than 40 LLM-as-a-judge metrics and monitor agents in production with dashboards and alerts. Comet's original experiment-management tools remain part of the platform, letting data scientists track training runs, version datasets and models, and visualize results across frameworks such as PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Developers typically add a few lines of code to their existing project to start logging automatically, without changing their workflow. The platform is available as a free-tier cloud service, a self-hosted open-source deployment, or an enterprise plan, and Comet says it is used by over 150,000 developers at companies including Uber, Netflix, Autodesk, and Etsy. Comet does not state its founding year or legal company name on the pages reviewed, so those remain unconfirmed.
At a glance
- Platforms
- Web, API
- API
- Available
- Integrations
- LlamaIndex, LangChain, OpenAI, PyTorch, PyTorch Lightning, Hugging Face, Keras, TensorFlow
- Last verified
- August 2026
Who It's For
- •Data scientists
- •Machine learning engineers
- •AI research teams
- •Organizations developing AI models
- •Academic researchers
How It Works
- 1Tracks experiments and models automatically during the development process.
- 2Provides dashboards for visualizing and comparing different model runs and hyperparameters.
- 3Integrates with popular machine learning frameworks to collect metrics and artifacts.
- 4Supports team collaboration through shared logs, reports, and version control.
How to Use Comet
- 1Sign up for a Comet account and create a project.
- 2Integrate Comet SDK into your machine learning codebase.
- 3Run experiments as usual; Comet will log metrics, parameters, and artifacts automatically.
- 4Use the dashboard to analyze experiment results, compare models, and share findings.
Key Features
- •LLM/agent tracing (Opik)
- •Automated error diagnostics
- •Ollie AI fix-suggestion agent
- •40+ LLM-as-a-judge evaluation metrics
- •ML experiment tracking and model versioning
- •Production monitoring dashboards and alerts
Use Cases
- •Debugging AI agent tool calls and prompts
- •Tracking machine learning experiments
- •Evaluating LLM output quality
- •Monitoring production AI agents
Pros & Cons
Advantages
- •Comprehensive experiment tracking and visualization
- •Easy integration with popular ML frameworks
- •Strong collaboration features for teams
- •Flexible and scalable platform
Disadvantages
- •Learning curve for new users
- •Cost may increase with team size and project complexity
- •Dependent on internet connectivity for cloud features
Alternatives
- Weights & Biases
- MLflow
- Neptune.ai
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Frequently Asked Questions
What is Comet?
Comet is a developer platform for building and evaluating AI agents and machine learning models, combining LLM observability with traditional ML experiment tracking under one product line. Its Opik platform lets developers log every step an AI agent takes using more than 60 integrations, automatically groups recurring errors found across large numbers of traces, and offers an assistant called Ollie that suggests fixes for problems in tool calls, context retrieval, or prompts.
How much does Comet cost?
Comet has a free plan; paid plans start at $39. A free trial is available.
Is Comet free?
Yes, Comet offers a free plan you can start with.
What are the best Comet alternatives?
Popular Comet alternatives include Weights & Biases, MLflow, Neptune.ai.
What is Comet used for?
Comet is commonly used for Debugging AI agent tool calls and prompts, Tracking machine learning experiments, Evaluating LLM output quality.
Does Comet have an API?
Yes, Comet offers an API for developers.
What platforms does Comet support?
Comet is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.