tools
Comet
Comet is an MLOps platform for tracking experiments, managing datasets and models, and monitoring machine learning systems.
In inglese
Comet helps data scientists, ML engineers, and research teams record training runs, compare model performance, version datasets and artifacts, and manage model lifecycles. It provides experiment visualizations, a model registry, hyperparameter search, and production monitoring.
The platform is available as a cloud service or self-hosted deployment. The Free plan supports one platform user; Pro costs $19 per user/month; Enterprise pricing is custom. Production monitoring and flexible deployments are Enterprise features.
Features
- Track and compare machine learning training runs
- Create custom visualizations with Python
- Manage and version datasets and artifacts
- Register, version, and promote models
- Run automated hyperparameter searches
- Monitor production models for data drift
- Define custom metrics and production alerts
- Deploy in the cloud, VPC, or on-premises
Use cases
- Track training runs across machine learning experiments
- Compare model metrics, parameters, predictions, and system data
- Version datasets and connect them to model lineage
- Promote approved model versions through deployment stages
- Detect data drift and performance changes in production
- Collaborate on reproducible ML research and development
Pros
Cons
Capabilities
- Ask in plain language — “Ask natural language questions to help root-cause issues, identify performance bottlenecks, and get debugging recommendations for your traces” source
- Charts and dashboards — “Built-in Charts” source
- Builds models — “One Platform to Train, Optimize, and Version Your Models” source
- Real-time data — “Easily track training metrics in real time, compare performance, debug, and evaluate models faster with built-in code panels.” source
- API — “Opik’s REST API and complete Python client can be used with both the Open-Source platform and Opik Cloud” source
- Self-hosted — “Self-hosting the open-source version of Opik is easy!” source
- Single sign-on — “Enterprise SSO (OAuth 2.0, SAML, and LDAP protocols)” source
Get it
Security
Pricing
- Starting price
- $19/mo
- Prices checked
- 2026-09-25
Open Source
Free
- Full AI observability & agent testing feature set
- True OSS: same codebase as the hosted versions
Free Cloud
Free
- Up to 10 team members
- 25k spans per month
- 60-day data retention
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
Pro Cloud
- $19 Per month
- Up to 50 team members
- 100k spans per month
- 60-day data retention
- Customizable monthly span limits
- Customizable data retention periods
Enterprise
Price on request
- Unlimited team members
- Custom usage plans
- Flexible deployments
- Service accounts and view-only users
- Single sign-on
- Dedicated support and SLAs
Free
Free
- 1 platform user
- Generous free tier
- Track and compare machine learning training runs
- Dataset management and versioning
- Model Registry
- LLM evaluation included for free
Pro
- $19 Per user/month
- Up to 10 users
- 1500 training hours included
- Email support
- Generous storage limits
- LLM evaluation included for free
Enterprise
Price on request
- Unlimited users
- Unlimited training hours
- Flexible deployments
- Model production monitoring
- Service accounts and view-only users
- Dedicated support and SLAs