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Comet

by Comet ML

MLOps platform for experiment tracking, dataset versioning, model registry and production monitoring, alongside Opik for LLM evaluation.

Starting priceFree plan; Pro $19/user/month
Pricing modelfreemium
DeploymentCloud, on-premises, managed by Comet
Free trialNo
Company sizeIndividuals, startups to enterprises

About

MLOps platform for experiment tracking, dataset versioning, model registry and production monitoring, alongside Opik for LLM evaluation.

Comet provides an MLOps platform for teams building and training machine learning models. It covers experiment tracking, dataset management and versioning, a model registry, hyperparameter search and Python visualisations, so teams can compare runs and reproduce results from one place.

For production, Comet adds model monitoring with data drift detection, feature distribution analysis, custom metrics and alerts. The same platform also hosts Opik, an open source tool for tracing and evaluating LLM applications and agents. Comet can run in the cloud, on-premises, or as a managed deployment.

Key features

Experiment tracking; Dataset management and versioning; Model registry; Hyperparameter search; Python visualisations; Model production monitoring with drift detection; Custom metrics and alerts; Opik LLM tracing and evaluation

Product details

Vendor

Comet ML

Category

MLOps Platforms

Pricing model

freemium

Starting price

Free plan; Pro $19/user/month

Free trial

No

Deployment

Cloud, on-premises, managed by Comet

Company size

Individuals, startups to enterprises

Pricing

Free plan; Pro $19/user/monthNo free trial

Pricing model: freemium

Plans

  • MLOps Free: $0 for 1 user with 100GB data. MLOps Pro: $19 per user per month, up to 10 users, 1,500 training hours, 500GB storage. Enterprise: custom pricing. Opik has a separate free open source edition, a Free Cloud plan and a Pro Cloud plan at $19 per month.
Visit website for full pricing details

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