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Head-to-head · ML Experiment Tracking Software

Comet vs DagsHub

  • Updated Oct 2026
  • Both researched from official sources
  • 7 checks side by side
Higher score Comet #3 in ML Experiment Tracking Software 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Comet
DagsHub #30 in ML Experiment Tracking Software 5.9/10 Free plan · 14-day trial Free planFree trial✓ 5 of 5 features Visit DagsHub

Comet leads on 1 check, DagsHub on 0, and 6 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreComet · 8.7/10
  • Lowest starting priceComet · $19/user/mo
  • Free planboth
  • Free trialonly DagsHub

Comet scores higher on our rubric for ml experiment tracking software: 8.7 against 5.9 out of 10; our editors rank them #3 and #30.

Comet is cheaper to start at $19/user/mo against $99/user/mo.

Comet is the better fit for teams prioritizing polished tracking and comparisons. DagsHub is the better fit for teams combining tracking with data versioning.

  • Comet fits best

    Teams prioritizing polished tracking and comparisons

  • DagsHub fits best

    Teams combining tracking with data versioning

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Side by side

Feature Comet 8.7/10 Visit ↗ DagsHub 5.9/10 Visit ↗
At a glance
Editor score 8.7 5.9
Ranking #3 in ML Experiment Tracking Software #30 in ML Experiment Tracking Software
Best for Teams prioritizing polished tracking and comparisons Teams combining tracking with data versioning
Pricing model Free plan + paid Free plan + paid
Starting price $19/user/mo (best) $99/user/mo
Free plan ✓ ✓
Free trial — 14 days
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Community, Docs, Phone Email, Live chat, Community
Compliance SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML SSO/SAML
Integrations 12 integrations 8 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Comet 5/5 · DagsHub 5/5
Run comparison ✓ ✓
Artifact tracking ✓ ✓
Dataset versioning ✓ ✓
Model registry ✓ ✓
API and SDK access ✓ ✓
Specs
Deployment options Hybrid Hybrid
Our review
Pros
  • Direct run comparison with metrics, parameters, code, and system information
  • Artifact lineage, dataset versioning, and a model registry in one platform
  • Hosted, API, and self-hosted deployment options with broad ML integrations
  • MLflow-compatible tracking covers parameters, metrics, runs, and comparisons
  • DVC and DagsHub support dataset versioning, lineage, and artifact storage
  • Hybrid deployment includes cloud, customer infrastructure, and enterprise environments
Cons
  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan
  • Individual private repositories allow up to 100 tracked experiments
  • Individual includes 20GB of DagsHub Storage
  • Enterprise pricing is available through a custom quote
Our verdict

Comet is a machine learning platform for data science teams and individual practitioners that records and analyzes training runs, metrics, parameters, visualizations, code, datasets, and other experiment outputs. Its core value is…

Read the review →

DagsHub is a web and API platform for machine-learning and data-science teams that need more than experiment logs. It combines MLflow-compatible tracking for parameters, metrics, and runs with experiment comparison, artifact storage,…

Read the review →
  1. CometML Experiment Tracking Software 8.7Free plan
  2. DagsHubML Experiment Tracking Software 5.9Free plan · 14-day trial

Strengths and trade-offs

  • Comet — where it wins

    • Direct run comparison with metrics, parameters, code, and system information
    • Artifact lineage, dataset versioning, and a model registry in one platform
    • Hosted, API, and self-hosted deployment options with broad ML integrations

    Where it doesn't

    • Enterprise pricing is custom
    • Single sign-on, compliance, and dedicated SLAs are Enterprise features
    • Advanced collaboration and email support require the Pro plan

  • DagsHub — where it wins

    • MLflow-compatible tracking covers parameters, metrics, runs, and comparisons
    • DVC and DagsHub support dataset versioning, lineage, and artifact storage
    • Hybrid deployment includes cloud, customer infrastructure, and enterprise environments

    Where it doesn't

    • Individual private repositories allow up to 100 tracked experiments
    • Individual includes 20GB of DagsHub Storage
    • Enterprise pricing is available through a custom quote
  • Comet8.7/10 · Free plan

    A polished experiment tracking platform with strong comparison, lineage, and registry tools.

    Visit CometFull verdict →
  • DagsHub5.9/10 · Free plan · 14-day trial

    A broad ML workspace that pairs MLflow tracking with data versioning and deployment.

    Visit DagsHubFull verdict →

More comparisons

All ML experiment tracking software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update