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Cybersecurity · head to head

authentik vs Dask

authentik logo

authentik

Cybersecurity

Open-source identity provider with flexible authentication flows

From
Free
Rated
-
Dask logo

Dask

Machine Learning

Scalable analytics in Python

From
Free
Rated
-

The short version

  • Each has a real cost: authentik smaller project than Keycloak, with a correspondingly smaller community and fewer integration guides; 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
  • They diverge on capability: authentik covers Configurable flows, Dask covers Parallel computing.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which authentik and Dask actually diverge.

Attributes where authentik and Dask differ
AttributeauthentikDask
Pricing modelOpen-source core with a paid enterprise tieropen-source
PlatformsDocker, Kubernetes, Linux, Self-hostedLinux, Mac, Windows
CategoryCybersecurityMachine Learning
FoundedUnknown2015

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 authentik

  • Configurable flows
  • Protocol support
  • Application proxy
  • Modern admin interface

Only in Dask

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

What people use each for

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

authentik

  • Self-hosted SSO across internal services without commercial identity pricingnot Dask
  • Putting authentication in front of applications that have none, via the proxynot Dask
  • Teams who tried Keycloak and wanted something less heavynot Dask

Dask

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

Where each one falls short

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

authentik

  • Smaller project than Keycloak, with a correspondingly smaller community and fewer integration guides
  • The flow model is flexible but conceptually unfamiliar, and simple setups can feel over-abstracted
  • Enterprise support and some governance features sit behind the paid tier
  • Self-hosted identity is still yours to secure, patch and keep available

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

Pricing, plan by plan

authentik

Free
  • Open sourceFree
    • Full identity provider
    • All protocols
    • Community support

Dask

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

Which should you pick?

Choose authentik if

  • You need configurable flows.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Linux, Self-hosted.
  • You also want protocol support.

Choose Dask if

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

Questions people ask

Is authentik or Dask better?
Neither clearly leads. authentik starts at Free and Dask at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, authentik or Dask?
authentik starts at Free and Dask at Free.
Does authentik or Dask run on more platforms?
authentik runs on Docker, Kubernetes, Linux, Self-hosted. Dask runs on Linux, Mac, Windows.
Can I use authentik for free?
Both have a free tier, so you can try either at no cost before committing.
What is authentik best used for?
authentik is most often used for self-hosted sso across internal services without commercial identity pricing, putting authentication in front of applications that have none, via the proxy, teams who tried keycloak and wanted something less heavy. Of those, self-hosted sso across internal services without commercial identity pricing and putting authentication in front of applications that have none, via the proxy are not what Dask is typically brought in for.
What can authentik do that Dask cannot?
authentik covers Configurable flows, Protocol support, Application proxy, Modern admin interface. Dask covers Parallel computing, Distributed DataFrames, Lazy evaluation, Dynamic task scheduling.

Answered from the vendors’ own pages

authentik: Is authentik free?

The open-source edition is free and complete for most use. An enterprise tier adds support and additional features.

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
authentik: authentik or Keycloak?

authentik is generally reported as easier to run and administer; Keycloak is more established with a larger community and Red Hat behind it.

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
authentik: Can authentik protect apps with no login of their own?

Yes. Its application proxy places authentication in front of services that have no built-in authentication.

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
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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