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Machine Learning & Data Science · pricing

Dask pricing

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

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

Dask 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.

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

Where Dask stops being free

Open Source, Free

  • Parallel computing
  • Distributed DataFrames
  • ML integration

No paid tier on record

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

What the product covers

The full Dask 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.

Core

  • Parallel computing
  • Distributed DataFrames
  • Lazy evaluation
  • Dynamic task scheduling
  • Dashboard

Integrations

  • NumPy
  • Pandas
  • scikit-learn
  • XGBoost
  • Kubernetes

Platform

  • Linux support
  • Mac support
  • Windows support

People bring Dask in for scaling pandas and numpy workloads beyond a single machine's memory, parallelising custom python task graphs, processing larger than memory arrays and dataframes on a cluster. If that is not the job you are buying for, the alternatives to Dask are worth a look before you commit to a tier.

How that compares in Machine Learning & Data Science

Too few machine learning & data science 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.

Dask entry price against other Machine Learning & Data Science tools
ToolEntry priceModelRatedHead to head
Dask (this page)Freeopen-source-
Comet MLFreefreemium-vs Dask
BentoMLFreefreemium-vs Dask
AnacondaFree, then $15/month--vs Dask
Azure Machine LearningFreeusage-based-vs Dask
BigQuery MLFreeusage-based-vs Dask
AlteryxFreesubscription-vs Dask

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 Dask badges page.

Before you pay for Dask

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.

Dask runs on linux, mac, windows, and is published by Dask Community of Open Source Community. The full record is on the Dask review, and the rest of the category is under best machine learning & data science tools.

Dask pricing on the vendor's own site

Dask pricing questions

How much does Dask cost?
Dask publishes a single tier, Open Source, at Free.
Does Dask have a free plan?
Yes. The Open Source tier costs nothing and covers parallel computing, distributed dataframes, ml integration.
Which machine learning & data science tools can I use without paying?
8 of the 8 machine learning & data science tools listed alongside Dask have a free tier: Comet ML, BentoML, Anaconda, Azure Machine Learning, BigQuery ML.
What am I actually paying for with Dask?
The record lists 13 features across 3 areas: core, integrations, platform. In practice it is brought in for scaling pandas and numpy workloads beyond a single machine's memory, parallelising custom python task graphs, processing larger than memory arrays and dataframes on a cluster.
Does Dask 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 Dask 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 Dask against before paying?
The closest machine learning & data science tools in this directory are Comet ML, BentoML, Anaconda, Azure Machine Learning. Each has a side-by-side comparison with Dask covering price, platforms and features.

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