Comet
What is Comet?
Discover how Comet can enhance your workflow
Key Capabilities
What makes Comet powerful
Experiments and Artifacts
Capture metrics params and files from code then visualize and compare runs to pick the best candidate confidently.
Prompts and Rubrics
Run systematic evaluations on LLM outputs using datasets references and human ratings to guide releases.
Production Drift
Watch performance and data quality in production then alert owners with evidence to retrain or roll back.
Roles and Private Networking
Apply SSO roles and private connectivity so teams collaborate under security and compliance requirements.
Key Features
What makes Comet stand out
- One line logging: Add a few lines to notebooks or jobs to record metrics params and artifacts for side by side comparisons and reproducibility
- Evals for LLM apps: Define datasets prompts and rubrics to score quality with human in the loop review and golden sets for regression checks
- Observability after deploy: Track live metrics drift and failures then alert owners and roll back or retrain with evidence captured for audits
- Governance and privacy: Use roles projects and private networking to meet policy while enabling collaboration across research and product
- Open and flexible: Choose free cloud or self hosted OSS with APIs and SDKs that plug into common stacks without heavy migration
- Dashboards for stakeholders: Build views that explain model choices risks and tradeoffs so leadership can approve promotions confidently
Use Cases
How Comet can help you
- Hyperparameter sweeps: Compare runs and pick winners with clear charts and artifact diffs for reproducible results
- Prompt and RAG evaluation: Score generations against references and human rubrics to improve assistant quality across releases
- Model registry workflows: Track versions lineage and approvals so shipping teams know what passed checks and why
- Drift detection: Monitor production data and performance so owners catch shifts and trigger retraining before user impact
- Collaborative research: Share projects and notes so scientists and engineers align on goals and evidence during sprints
- Compliance support: Maintain histories and approvals to satisfy audits and customer reviews with minimal manual work
- Education and labs: Teach best practices using free cloud or OSS while students learn to compare experiments at scale
- Kubernetes friendly: Integrate with schedulers and clusters to capture metrics from distributed training runs
Perfect For
ml engineers data scientists platform and research teams who want reproducible tracking evals and monitoring with free options and enterprise governance when needed
Plans & Pricing
Free / $19 per month / Custom pricing
Visit official site for current pricing
Quick Information
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Frequently Asked Questions
How does pricing start?
Is there an on prem option?
Which frameworks integrate?
Can we evaluate LLM apps?
Do you support dashboards?
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