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Cybersecurity · head to head

Passbolt vs scikit-learn

Passbolt logo

Passbolt

Cybersecurity

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

From
Free
Rated
-
Full reviewWebsite
scikit-learn logo

scikit-learn

Machine Learning

Machine learning in Python

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
  • They diverge on capability: Passbolt covers Password sharing and folders, scikit-learn covers Classification algorithms.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Passbolt and scikit-learn actually diverge.

Attributes where Passbolt and scikit-learn differ
AttributePassboltscikit-learn
Pricing modelopen-sourceUnknown
Platformsweb, windows, mac, linux, apiPython, Linux, macOS, Windows
CategoryCybersecurityMachine Learning
FoundedUnknown2007

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 Passbolt

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

Only in scikit-learn

  • Classification algorithms
  • Regression models
  • Clustering methods
  • Dimensionality reduction
  • Model selection
  • NumPy
  • SciPy
  • Pandas

What people use each for

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

Passbolt

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

scikit-learn

  • Machine learningnot Passbolt
  • Data analysisnot Passbolt
  • Model trainingnot Passbolt
  • Predictive analyticsnot Passbolt

Where each one falls short

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

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.

scikit-learn

  • No GPU acceleration by default; limited optional GPU support requires external arrays
  • Single-machine only; no built-in distributed computing across clusters
  • All datasets must fit entirely in RAM; no out-of-core learning
  • No production-grade deep learning; neural network support limited to basic multilayer perceptron
  • No reinforcement learning algorithms

Pricing, plan by plan

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

scikit-learn

Free

No published plan breakdown. See the scikit-learn review.

Which should you pick?

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

Choose scikit-learn if

  • You need classification algorithms.
  • You want to start without paying.
  • You work on Python, Linux, macOS, Windows.
  • You also want regression models.
scikit-learn review

Questions people ask

Is Passbolt or scikit-learn better?
Neither clearly leads. Passbolt starts at Free and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Passbolt or scikit-learn?
Passbolt starts at Free and scikit-learn at Free.
Does Passbolt or scikit-learn run on more platforms?
Passbolt runs on web, windows, mac, linux, api. scikit-learn runs on Python, Linux, macOS, Windows.
Can I use Passbolt for free?
Both have a free tier, so you can try either at no cost before committing.
What is Passbolt best used for?
Passbolt is most often used for self-hosting a team password manager for data sovereignty, provisioning vault access from an existing ldap/ad directory, sharing credentials across engineering or it teams via folders and groups, automating credential retrieval through the cli or open api. Of those, self-hosting a team password manager for data sovereignty and provisioning vault access from an existing ldap/ad directory are not what scikit-learn is typically brought in for.
What can Passbolt do that scikit-learn cannot?
Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open API. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.

Answered from the vendors’ own pages

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
scikit-learn: Does scikit-learn support GPU acceleration?

Scikit-learn has no native GPU support by design to keep installation simple and cross-platform. Since 2023, a limited number of estimators can run on GPUs if input data is provided as PyTorch or CuPy arrays, but this requires additional setup.

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
scikit-learn: Can scikit-learn handle datasets larger than RAM?

No. Scikit-learn is built on NumPy which requires all data to fit in memory, and NumPy operates on single-machine CPUs only. For very large datasets, consider Spark MLlib or distributed alternatives.

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
scikit-learn: Is scikit-learn free to use commercially?

Yes. Scikit-learn is open source under the BSD license, which allows free commercial use, modification, and distribution.

Source
scikit-learn: What neural network capabilities does scikit-learn have?

Scikit-learn includes only a basic multilayer perceptron (MLPClassifier and MLPRegressor) for simple feedforward networks. For serious deep learning, use PyTorch, TensorFlow, or Keras instead.

Source
scikit-learn: Does scikit-learn include natural language processing?

Scikit-learn has minimal NLP support limited to basic text feature extraction and vectorization. For comprehensive text processing, use spaCy or NLTK instead.

Source
scikit-learn: When was scikit-learn first released?

Scikit-learn's first public release was February 1, 2010, following its start as a Google Summer of Code project in 2007.

Source
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