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Head-to-head · ML Experiment Tracking Software

Comet vs LUML Flow

  • Updated Oct 2026
  • Both researched from official sources
  • 6 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
LUML Flow #19 in ML Experiment Tracking Software 7.0/10 Free plan Free plan✓ 5 of 5 features Visit LUML Flow

Comet leads on 0 checks, LUML Flow on 0, and 6 are even. Who comes out ahead on the 6 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
  • Free planboth

Comet scores higher on our rubric for ml experiment tracking software: 8.7 against 7.0 out of 10; our editors rank them #3 and #19.

Comet is the better fit for teams prioritizing polished tracking and comparisons. LUML Flow is the better fit for open-source teams tracking ML and LLM experiments.

  • Comet fits best

    Teams prioritizing polished tracking and comparisons

  • LUML Flow fits best

    Open-source teams tracking ML and LLM experiments

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Side by side

Feature Comet 8.7/10 Visit ↗ LUML Flow 7.0/10 Visit ↗
At a glance
Editor score 8.7 7.0
Ranking #3 in ML Experiment Tracking Software #19 in ML Experiment Tracking Software
Best for Teams prioritizing polished tracking and comparisons Open-source teams tracking ML and LLM experiments
Pricing model Free plan + paid Free plan + paid
Starting price $19/user/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Email, Community, Docs, Phone Email, Community, Docs
Integrations 12 integrations 12 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market
Features Comet 5/5 · LUML Flow 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
  • Tracks parameters, metrics, models, traces, evaluations, and attachments
  • Supports comparison, SQLite storage, and a versioned model registry
  • Integrates with PyTorch, LangChain, TensorFlow, and other ML tools
Cons
  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan
  • Light is limited to 1 user, 1 orbit, 50 artifacts, and 1 satellite
  • Pro supports up to 5 users and 1,000 artifacts
  • Platform access is centered on API and self-hosted deployment
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 →

LUML Flow is a local-first experiment tracker for predictive machine learning and generative AI workflows. It records parameters, metrics, model artifacts, traces, evaluation samples, scorers, human annotations, and file attachments while…

Read the review →
  1. CometML Experiment Tracking Software 8.7Free plan
  2. LUML FlowML Experiment Tracking Software 7.0Free 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

  • LUML Flow — where it wins

    • Tracks parameters, metrics, models, traces, evaluations, and attachments
    • Supports comparison, SQLite storage, and a versioned model registry
    • Integrates with PyTorch, LangChain, TensorFlow, and other ML tools

    Where it doesn't

    • Light is limited to 1 user, 1 orbit, 50 artifacts, and 1 satellite
    • Pro supports up to 5 users and 1,000 artifacts
    • Platform access is centered on API and self-hosted deployment

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