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Machine Learning · pricing

MLflow pricing

MLflow publishes a single tier. Below is what it costs, what it covers, and how that compares with the machine learning tools listed alongside it.

As of 30 August 2026, MLflow pricing is free. Figures are the vendor's list prices as recorded on this page's last check; the vendor's site is the final word.

Entry price
Free
Model
Open-source
Tiers
1
Free tier
Yes

MLflow plans, side by side

Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.

MLflow pricing tiers
PlanPriceFeatures listedStep up from the tier below
Open SourceFree3Entry tier

Where MLflow stops being free

Open Source, Free

  • Experiment tracking
  • Model registry
  • Deployment tools

No paid tier on record

MLflow lists a free tier and no priced tier above it in the record we hold.

What the product covers

The full MLflow feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.

Other

  • Experiment tracking
  • Model registry
  • Model packaging
  • Deployment
  • Project organization

Integrations

  • TensorFlow
  • PyTorch
  • scikit-learn
  • Spark
  • Kubernetes

Platform

  • Linux support
  • Mac support
  • Windows support

People bring MLflow in for machine learning, data analysis, model training, predictive analytics. If that is not the job you are buying for, the alternatives to MLflow are worth a look before you commit to a tier.

How that compares in Machine Learning

Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.

MLflow entry price against other Machine Learning tools
ToolEntry priceModelRatedHead to head
MLflow (this page)Freeopen-source-
ClearMLFreeOpen-source self-hosted, with paid hosted and enterprise tiers-vs MLflow
LangwatchFree, then €29/monthTiered subscription with usage-based overage charges-vs MLflow
HaystackFreeOpen-source with optional paid enterprise support-vs MLflow
Semantic KernelFreeOpen source, no pricing-vs MLflow
Fal AI$1.89/hourusage-based-vs MLflow
H2O.aiFreefreemium-vs MLflow

Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the MLflow badges page.

Before you pay for MLflow

Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.

What it can tell you is the shape of the ladder: a single tier at Free. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.

MLflow runs on web, python api, rest api, and is published by Databricks of San Francisco, California. The full record is on the MLflow review, and the rest of the category is under best machine learning tools.

MLflow pricing on the vendor's own site

MLflow pricing questions

How much does MLflow cost?
MLflow publishes a single tier, Open Source, at Free.
Does MLflow have a free plan?
Yes. The Open Source tier costs nothing and covers experiment tracking, model registry, deployment tools.
Which machine learning tools can I use without paying?
7 of the 8 machine learning tools listed alongside MLflow have a free tier: ClearML, Langwatch, Haystack, Semantic Kernel, H2O.ai.
What am I actually paying for with MLflow?
The record lists 13 features across 3 areas: other, integrations, platform. In practice it is brought in for machine learning, data analysis, model training.
Does MLflow charge per user?
The record carries a price and a billing period for each of its 1 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
Are these MLflow prices current?
They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
What should I compare MLflow against before paying?
The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Semantic Kernel. Each has a side-by-side comparison with MLflow covering price, platforms and features.

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