Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · ML Experiment Tracking Software

ClearML vs DVCLive

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score ClearML #2 in ML Experiment Tracking Software 8.8/10 Free plan Free plan✓ 1 of 5 features Visit ClearML
DVCLive #8 in ML Experiment Tracking Software 8.1/10 Free plan Free plan✓ 3 of 5 features Visit DVCLive

ClearML leads on 0 checks, DVCLive on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreClearML · 8.8/10
  • Free planboth
  • Most featuresDVCLive · 3 of 5

ClearML scores higher on our rubric for ml experiment tracking software: 8.8 against 8.1 out of 10; our editors rank them #2 and #8.

ClearML is the better fit for teams wanting broad, affordable experiment management. DVCLive is the better fit for open-source teams needing lightweight tracking.

  • ClearML fits best

    Teams wanting broad, affordable experiment management

  • DVCLive fits best

    Open-source teams needing lightweight tracking

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature ClearML 8.8/10 Visit ↗ DVCLive 8.1/10 Visit ↗
At a glance
Editor score 8.8 8.1
Ranking #2 in ML Experiment Tracking Software #8 in ML Experiment Tracking Software
Best for Teams wanting broad, affordable experiment management Open-source teams needing lightweight tracking
Pricing model Free plan + paid Free
Starting price $15/user/mo Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Email, Community, Docs Community, Docs
Integrations 12 integrations 14 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features ClearML 1/5 · DVCLive 3/5
Run comparison Not checked yet ✓ (best)
Artifact tracking Not checked yet ✓ (best)
Dataset versioning Not checked yet Not checked yet
Model registry ✓ (best) Not checked yet
API and SDK access Not checked yet ✓ (best)
Specs
Deployment options Not checked yet Self_hosted
Our review
Pros
  • Community includes tracking, datasets, models, pipelines, and orchestration
  • Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments
  • Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra
  • Logs metrics, parameters, plots, images, and model artifacts
  • Compares experiments through DVC CLI and DVC Studio
  • Integrates with major ML frameworks, including PyTorch and TensorFlow
Cons
  • Scale and Enterprise use quote-based pricing
  • Pro adds usage-based storage and activity costs
  • Its broad MLOps scope may exceed the needs of tracking-only teams
  • Does not list verified model-registry features
  • Does not list verified dataset-versioning features
  • Platform coverage is not listed
Our verdict

ClearML is an open-source AI infrastructure and MLOps platform for data scientists, ML engineers, DevOps teams, and enterprises. Its scope extends from experiment tracking to dataset versioning, model management, pipeline orchestration,…

Read the review →

DVCLive is an open-source Python library for recording machine-learning metrics, parameters, plots, images, and artifacts in simple file formats. It is aimed at developers and machine-learning teams that want experiment tracking without…

Read the review →
  1. ClearMLML Experiment Tracking Software 8.8Free plan
  2. DVCLiveML Experiment Tracking Software 8.1Free plan

Strengths and trade-offs

  • ClearML — where it wins

    • Community includes tracking, datasets, models, pipelines, and orchestration
    • Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments
    • Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra

    Where it doesn't

    • Scale and Enterprise use quote-based pricing
    • Pro adds usage-based storage and activity costs
    • Its broad MLOps scope may exceed the needs of tracking-only teams

  • DVCLive — where it wins

    • Logs metrics, parameters, plots, images, and model artifacts
    • Compares experiments through DVC CLI and DVC Studio
    • Integrates with major ML frameworks, including PyTorch and TensorFlow

    Where it doesn't

    • Does not list verified model-registry features
    • Does not list verified dataset-versioning features
    • Platform coverage is not listed

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