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Machine Learning · head to head

Dask vs Galileo

Dask logo

Dask

Machine Learning

Scalable analytics in Python

From
Free
Free plan
Yes
Full reviewWebsite
Galileo logo

Galileo

AI

Evaluation and observability platform for GenAI applications and agents

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Dask each Dask task carries between 200 microseconds and 1 millisecond of scheduler overhead, so graphs of millions of tasks add 10 minutes to hours of pure overhead; Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
  • They diverge on capability: Dask covers Parallel computing, Galileo covers Pre-built evaluations.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dask and Galileo actually diverge.

Attributes where Dask and Galileo differ
AttributeDaskGalileo
Pricing modelopen-sourcefreemium
PlatformsLinux, Mac, Windowsweb, api
CategoryMachine LearningAI
Founded2015Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Dask

  • Parallel computing
  • Distributed DataFrames
  • Lazy evaluation
  • Dynamic task scheduling
  • Dashboard
  • NumPy
  • Pandas
  • scikit-learn

Only in Galileo

  • Pre-built evaluations
  • Ground truth capture
  • Luna models
  • Agent behavior analysis
  • Production guardrails
  • Flexible deployment

What people use each for

The jobs each tool is most often brought in to do.

Dask

  • Scaling pandas and NumPy workloads beyond a single machine's memorynot Galileo
  • Parallelising custom Python task graphsnot Galileo
  • Processing larger than memory arrays and dataframes on a clusternot Galileo

Galileo

  • Evaluating RAG and agent applications before production releasenot Dask
  • Monitoring live GenAI applications for failures and driftnot Dask
  • Applying real-time guardrails without custom integration worknot Dask
  • Reducing evaluation costs using distilled Luna judge modelsnot Dask

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dask

  • Each Dask task carries between 200 microseconds and 1 millisecond of scheduler overhead, so graphs of millions of tasks add 10 minutes to hours of pure overhead
  • Partition sizing is left to the user: chunks must fit several times over in worker memory, and both oversized and undersized chunks are documented failure modes
  • Embedding large locally created DataFrames or Arrays into a Dask computation is documented as a practice to avoid because of network overhead
  • Calling compute repeatedly in a loop rather than batching prevents parallelisation of queries
  • The documentation itself advises trying better algorithms, file formats or sampling before adopting Dask

Galileo

  • The free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
  • Real-time guardrails and unlimited trace capacity are reserved for the custom-priced Enterprise tier.
  • Pro plan pricing scales with trace volume, so costs can grow unpredictably as usage increases.
  • On-premises deployment requires an Enterprise contract rather than being available self-serve.

Pricing, plan by plan

Dask

Free
  • Open SourceFree
    • Parallel computing
    • Distributed DataFrames
    • ML integration

Galileo

Free
  • FreeFree
    • 5,000 traces/month
    • Unlimited users
    • Unlimited custom evaluations
  • Pro$100/month
    • 50,000 traces/month
    • Standard role-based access control
    • Advanced analytics and insights
  • Enterprise$undefined/mo
    • Unlimited trace capacity
    • Custom rate limits
    • Hosted, VPC, or on-prem deployment

Which should you pick?

Choose Dask if

  • You need parallel computing.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want distributed dataframes.
Dask review

Choose Galileo if

  • You need pre-built evaluations.
  • You want to start without paying.
  • You work on web, api.
  • You also want ground truth capture.
Galileo review

Questions people ask

Is Dask or Galileo better?
Neither clearly leads. Dask starts at Free and Galileo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dask or Galileo?
Dask starts at Free and Galileo at Free.
Does Dask or Galileo run on more platforms?
Dask runs on Linux, Mac, Windows. Galileo runs on web, api.
Can I use Dask for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dask best used for?
Dask is most often used 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. Of those, scaling pandas and numpy workloads beyond a single machine's memory and parallelising custom python task graphs are not what Galileo is typically brought in for.
What can Dask do that Galileo cannot?
Dask covers Parallel computing, Distributed DataFrames, Lazy evaluation, Dynamic task scheduling. Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis.

Answered from the vendors’ own pages

Dask: Is Dask free to use?

Yes, Dask is completely free and open source under the New-BSD License. You can install it via conda or pip at no cost.

Source
Galileo: What does Galileo cost?

Galileo offers a free plan, a Pro plan at $100/month billed yearly (with a 33% annual discount), and a custom-priced Enterprise plan for unlimited trace capacity.

Source
Dask: Can I use Dask for commercial applications?

Yes, the New-BSD License permits commercial use. You can deploy Dask in production environments without licensing fees.

Source
Galileo: Is there a free plan, and what are its limits?

The Free plan includes 5,000 traces per month with unlimited users and unlimited custom evaluations, aimed at developers and small teams experimenting with GenAI.

Source
Dask: Is there a managed cloud service for Dask?

Yes, Coiled is a commercial cloud service for managed Dask deployments. Coiled is free for individuals with modest use and easy to use with cloud accounts. Paid options are available for production use.

Source
Galileo: How is usage metered?

Galileo's pricing scales based on the number of traces processed each month, with Free capped at 5,000, Pro at 50,000, and Enterprise offering unlimited trace capacity.

Source
Dask: What are typical data processing costs with Dask?

Dask users typically process cloud data at approximately $0.10 per TiB, though this reflects data transfer costs rather than Dask software licensing fees.

Source
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