MBPLS

At a glance

• Editor score
  3.0 / 10
• Pricing
  Free plan
• Best for
  Python users fitting multiblock PLS models
• Free plan
  Yes
• Paid from
  Free
• Facts checked
  24 Sep 2026

• Where it wins

  • Fits partial least-squares models across multiple related data blocks
  • Provides latent-variable modelling for multiblock datasets
  • Offers programmatic access to fitted model results

• Where it doesn't

  • Focused scope does not cover a broad range of statistical tests
  • Self-hosted installation requires a Python environment
  • Documentation is the listed support channel

Our verdict on MBPLS

MBPLS is an open-source Python package for researchers and analysts whose datasets are organized into multiple related blocks. It provides programmatic multiblock partial least-squares model fitting, latent-variable modelling and access to fitted results. The package is distributed as software rather than a hosted statistical application, making it a fit for solo, small and mid-market teams that work directly in Python and want a focused modelling tool.

Its main strength is depth within the multiblock PLS workflow. Users can divide a dataset into multiple blocks, fit a model through the Python interface and inspect results programmatically. This supports script-based analysis and regression modelling without requiring a separate graphical application. The narrow focus is also the main boundary: MBPLS is designed around multiblock PLS rather than a broad statistical-test suite, and its published positioning does not describe a wider integration ecosystem. Choose it when latent-variable analysis across related blocks is the central requirement; look to a broader statistical package when you need varied tests or connected application workflows.

The open-source, free model keeps access straightforward, while self-hosted deployment places environment setup and maintenance with the user. Documentation covers installation and use, and docs are the listed support channel. That arrangement suits analysts comfortable managing a Python package and building repeatable scripts, but it is less suitable for teams seeking a hosted interface, packaged onboarding or multiple support channels. MBPLS is therefore a practical choice for focused, programmatic multiblock work, not a general-purpose statistics environment or a managed deployment service.

Your product? Our editors can test MBPLS in depth and publish a review, labelled as paid · from $149/mo →

MBPLS pricing

MBPLS fact sheet

Alternatives to MBPLS

• RA free, programmable environment for statistical analysis, modeling, visualization, and data import.9.4
• SStataA broad, scriptable desktop environment for professional and reproducible applied analysis.9.3
• IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2

See all MBPLS alternatives →

Featured on iTechGuides

MBPLS is listed in our Statistical Analysis Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/mbpls/"><img src="https://www.itechguides.com/best/badge/mbpls.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update