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Machine Learning · head to head

Dask vs Passbolt

Dask logo

Dask

Machine Learning

Scalable analytics in Python

From
Free
Rated
-
Full reviewWebsite
Passbolt logo

Passbolt

Cybersecurity

Open-source password manager for teams with self-hosted or cloud deployment

From
Free
Rated
-
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; Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.
  • They diverge on capability: Dask covers Parallel computing, Passbolt covers Password sharing and folders.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dask and Passbolt actually diverge.

Attributes where Dask and Passbolt differ
AttributeDaskPassbolt
PlatformsLinux, Mac, Windowsweb, windows, mac, linux, api
CategoryMachine LearningCybersecurity
Founded2015Unknown

Identical on both: starting price (Free), pricing model (open-source), 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 Passbolt

  • Password sharing and folders
  • Groups and role-based access
  • Browser extensions and CLI
  • Open API
  • LDAP provisioning and SSO
  • Activity audit log

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 Passbolt
  • Parallelising custom Python task graphsnot Passbolt
  • Processing larger than memory arrays and dataframes on a clusternot Passbolt

Passbolt

  • Self-hosting a team password manager for data sovereigntynot Dask
  • Provisioning vault access from an existing LDAP/AD directorynot Dask
  • Sharing credentials across engineering or IT teams via folders and groupsnot Dask
  • Automating credential retrieval through the CLI or open APInot 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

Passbolt

  • Pro Edition requires a minimum of 10 users, making it costlier for very small teams.
  • Community Edition lacks SSO and LDAP provisioning, which many organizations need for onboarding at scale.
  • Self-hosting the Community Edition requires infrastructure and maintenance effort compared to fully managed competitors.
  • Enterprise-tier support and HA consulting require custom, quote-based pricing rather than transparent rates.

Pricing, plan by plan

Dask

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

Passbolt

Free
  • Community EditionFree
    • Unlimited users
    • Password sharing and folders
    • Role-based access control
  • Pro Edition$4.9/month
    • Minimum 10 users, billed annually
    • LDAP/AD provisioning
    • Single sign-on
  • Enterprise Edition$undefined/month
    • High availability and disaster recovery consulting
    • White-glove migration
    • Custom feature development

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 Passbolt if

  • You need password sharing and folders.
  • You want to start without paying.
  • You work on web, windows, mac, linux, api.
  • You also want groups and role-based access.
Passbolt review

Questions people ask

Is Dask or Passbolt better?
Neither clearly leads. Dask starts at Free and Passbolt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dask or Passbolt?
Dask starts at Free and Passbolt at Free.
Does Dask or Passbolt run on more platforms?
Dask runs on Linux, Mac, Windows. Passbolt runs on web, windows, mac, linux, 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 Passbolt is typically brought in for.
What can Dask do that Passbolt cannot?
Dask covers Parallel computing, Distributed DataFrames, Lazy evaluation, Dynamic task scheduling. Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open API.

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
Passbolt: Is Passbolt free to use?

Yes. The Community Edition is free forever with unlimited users, including password sharing, folders, groups, role-based access, browser extensions, a CLI, and an open API.

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
Passbolt: What does the Pro Edition cost and add?

Pro Edition costs $4.90 per user per month billed annually, with a 10-user minimum, and adds LDAP/AD provisioning, single sign-on, account recovery escrow, activity audit logs, and next-business-day support.

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
Passbolt: What license is Passbolt distributed under?

All Passbolt editions, including Pro and Enterprise, are distributed under the AGPL v3 open-source license.

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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