Comet vs Trackio

Comet8.7Visit TTrackio7.7Visit

Higher score Comet #3 in ML Experiment Tracking Software 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Comet

vs

T Trackio #12 in ML Experiment Tracking Software 7.7/10 Free plan Free plan✓ 5 of 5 features Visit Trackio

• Comet fits best

  Teams prioritizing polished tracking and comparisons

• Trackio fits best

  Free teams using Hugging Face tooling

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Side by side

Feature	Comet 8.7/10 Visit ↗	TTrackio 7.7/10 Visit ↗
At a glance
Editor score	8.7	7.7
Ranking	#3 in ML Experiment Tracking Software	#12 in ML Experiment Tracking Software
Best for	Teams prioritizing polished tracking and comparisons	Free teams using Hugging Face tooling
Pricing model	Free plan + paid	Free
Starting price	$19/user/mo	Free plan
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Community, Docs, Phone	Docs
Integrations	12 integrations	5 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market
Features Comet 5/5 · Trackio 5/5
Run comparison	✓	✓
Artifact tracking	✓	✓
Dataset versioning	✓	✓
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	Free tracking with run grouping and side-by-side comparisons Versioned artifacts with aliases, lineage, and registries Local, Hugging Face Spaces, or self-hosted deployment
Cons	Enterprise pricing is custom Single sign-on, compliance, and dedicated SLAs are Enterprise features Advanced collaboration and email support require the Pro plan	Integrations are centered on the Hugging Face ecosystem Registry capabilities are under active development Primarily designed for Python-based ML workflows
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 →	Trackio is a free, open-source experiment tracking library for ML developers, researchers, and teams building Python-based training workflows. It records metrics, configurations, media, traces, and versioned artifacts, then presents… Read the review →

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

• Trackio — where it wins

  • Free tracking with run grouping and side-by-side comparisons
  • Versioned artifacts with aliases, lineage, and registries
  • Local, Hugging Face Spaces, or self-hosted deployment

  Where it doesn't

  • Integrations are centered on the Hugging Face ecosystem
  • Registry capabilities are under active development
  • Primarily designed for Python-based ML workflows

• Comet8.7/10 · Free plan

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

  Visit CometFull verdict →
• TTrackio7.7/10 · Free plan

  A free tracker for Hugging Face-centered teams that need runs, artifacts, and registries.

  Visit TrackioFull verdict →