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Head-to-head · ML Experiment Tracking Software

Comet vs GitLab Model Experiments

  • 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
GitLab Model Experiments #9 in ML Experiment Tracking Software 8.0/10 Free plan Free plan✓ 4 of 5 features Visit GitLab

Comet leads on 1 check, GitLab Model Experiments 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
  • Most featuresComet · 5 of 5

Comet scores higher on our rubric for ml experiment tracking software: 8.7 against 8.0 out of 10; our editors rank them #3 and #9.

Comet is cheaper to start at $19/user/mo against $29/user/mo.

Comet is the better fit for teams prioritizing polished tracking and comparisons. GitLab Model Experiments is the better fit for gitLab-centric ML development teams.

  • Comet fits best

    Teams prioritizing polished tracking and comparisons

  • GitLab Model Experiments fits best

    GitLab-centric ML development teams

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Side by side

Feature Comet 8.7/10 Visit ↗ GitLab Model Experiments 8.0/10 Visit ↗
At a glance
Editor score 8.7 8.0
Ranking #3 in ML Experiment Tracking Software #9 in ML Experiment Tracking Software
Best for Teams prioritizing polished tracking and comparisons GitLab-centric ML development teams
Pricing model Free plan + paid Free plan + paid
Starting price $19/user/mo (best) $29/user/mo
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Community, Docs, Phone Docs, Community
Integrations 12 integrations 41+ integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Comet 5/5 · GitLab Model Experiments 4/5
Run comparison ✓ ✓
Artifact tracking ✓ ✓
Dataset versioning ✓ (best) Not checked yet
Model registry ✓ ✓
API and SDK access ✓ ✓
Specs
Deployment options Hybrid Not checked yet
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
  • Organizes comparable runs with parameters, metrics, metadata, and artifacts
  • Connects experiments to GitLab CI/CD jobs and metric charts
  • Works with MLflow and the GitLab Model Registry
Cons
  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan
  • Free access is limited to 5 users per top-level group
  • The workflow is closely tied to the broader GitLab platform
  • Premium starts at $29 per user monthly with annual billing
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 →

GitLab Model Experiments is an experiment-tracking capability within GitLab for machine learning teams managing model development alongside source control and delivery workflows. It organizes comparable model runs into experiments and…

Read the review →
  1. CometML Experiment Tracking Software 8.7Free plan
  2. GitLab Model ExperimentsML Experiment Tracking Software 8.0Free plan

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

  • GitLab Model Experiments — where it wins

    • Organizes comparable runs with parameters, metrics, metadata, and artifacts
    • Connects experiments to GitLab CI/CD jobs and metric charts
    • Works with MLflow and the GitLab Model Registry

    Where it doesn't

    • Free access is limited to 5 users per top-level group
    • The workflow is closely tied to the broader GitLab platform
    • Premium starts at $29 per user monthly with annual billing
  • Comet8.7/10 · Free plan

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

    Visit CometFull verdict →
  • GitLab Model Experiments8.0/10 · Free plan

    A GitLab-native way to compare runs and connect experiments to delivery workflows.

    Visit GitLabFull 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