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LUML Flow

Freemium#19 of 38 in ML Experiment Tracking Software

LUML Flow: A local-first tracker with strong ML, LLM, evaluation, and registry coverage. Ranked #19 of 38 in ML Experiment Tracking Software by our editors (7.0/10); pricing: Free plan; best for open-source teams tracking ML and LLM experiments.

7.0/10Editor score
Visit LUML Flow
LUML Flow7.0 Visit LUML Flow

At a glance

  • Editor score
    7.0 / 10
  • Pricing
    Free plan
  • Best for
    Open-source teams tracking ML and LLM experiments
  • Free plan
    Yes
  • Run comparison
    Yes
  • Facts checked
    21 Sep 2026
LUML Flow screenshot

  • 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

Our verdict on LUML Flow

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 experiments run. Its local UI supports cross-experiment comparison and stores experiment data in SQLite. Individual practitioners and ML teams can use the lumlflow Python package locally, then upload selected experiments to the LUML platform for collaboration, deployment, monitoring, and versioned model registry artifacts.

Its feature depth is strongest around experiment and evaluation workflows. Live parameter and metric tracking sits alongside model artifact logging, comparison across experiments, LLM trace capture through OpenTelemetry, evaluation samples, scorers, and annotations. The integration list covers PyTorch, XGBoost, scikit-learn, TensorFlow, LightGBM, JAX, Keras, LangChain, LangGraph, LlamaIndex, DSPy, and Anthropic. That breadth suits teams working across conventional ML and LLM applications, while local SQLite storage gives individual workflows a self-contained starting point.

The published plans show a free Light tier with all platform capabilities, 1 user, 1 orbit, 50 artifacts, 1 satellite, and community support. Plus costs €79 per month when billed annually and adds up to 3 users, 300 artifacts, 2 satellites, and standard support. Pro costs €249 per month when billed annually and raises those limits to 5 users, 1,000 artifacts, and 5 satellites. LUML Flow fits open-source teams that value local execution, broad framework coverage, and a path to a shared registry. Teams needing more than 5 users, 1 orbit, or 1,000 artifacts should compare alternatives before committing.

Your product? Our editors can test LUML Flow in depth and publish a review, labelled as paid · from $149/mo →

LUML Flow pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 21 Sep 2026.
See plans on luml.ai

All 3 LUML Flow plans and prices →

LUML Flow fact sheet

Free planYes
Paid fromNot verified
Run comparisonYes
Artifact trackingYes
Dataset versioningYes
Model registryYes
Deployment optionsHybrid
API and SDK accessYes
DeploymentCloud, Self-hosted
SupportEmail, Community, Docs
Built forSolo, Small business, Mid-market (editorial estimate)
Integrations12 integrations: PyTorch, LangGraph, XGBoost, scikit-learn, LlamaIndex, TensorFlow …
PricingFree plan (source)
Websiteluml.ai
Facts checked21 Sep 2026

LUML Flow integrations

LUML Flow lists 12 integrations on its own site.

  • PyTorch
  • LangGraph
  • XGBoost
  • scikit-learn
  • LlamaIndex
  • TensorFlow
  • Anthropic
  • LightGBM
  • DSPy
  • JAX
  • LangChain
  • Keras

Alternatives to LUML Flow

See all LUML Flow alternatives →

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Featured on iTechGuides

Featured on iTechGuides — LUML Flow 7.0/10

LUML Flow is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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