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Weka vs BentoML

Weka logo

Weka

Software

Collection of machine learning algorithms

From
Free
Rated
-
Full reviewWebsite
BentoML logo

BentoML

Software

Build production-ready ML applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution; BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.
  • They diverge on capability: Weka covers Classification, BentoML covers Model packaging.

Where they differ

Only the attributes on which Weka and BentoML actually diverge.

Attributes where Weka and BentoML differ
AttributeWekaBentoML
Pricing modelopen-sourcefreemium
Founded19932019

Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), user rating (Not yet rated), category (Unknown).

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 Weka

  • Classification
  • Regression
  • Clustering
  • Association rules
  • Feature selection
  • Java
  • R
  • Python

Only in BentoML

  • Model packaging
  • REST API generation
  • Adaptive batching
  • Multi-framework support
  • Container deployment
  • PyTorch
  • TensorFlow
  • scikit-learn

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

Weka

  • Teaching and exploring classic machine learning algorithms through a GUInot BentoML
  • Running data mining experiments and preprocessing without writing codenot BentoML

BentoML

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

Where each one falls short

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

Weka

  • The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
  • Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
  • Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture

BentoML

  • Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.

Pricing, plan by plan

Weka

Free
  • Open SourceFree
    • All ML algorithms
    • GUI and CLI
    • Java API

BentoML

Free
  • Open SourceFree
    • Model packaging
    • API creation
    • Local serving
  • BentoCloudFree
    • Managed deployment
    • Auto-scaling
    • Monitoring

Which should you pick?

Choose Weka if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want regression.
Weka review

Choose BentoML if

  • You need model packaging.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want rest api generation.
BentoML review

Questions people ask

Is Weka or BentoML better?
Neither clearly leads. Weka starts at Free and BentoML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Weka or BentoML?
Weka starts at Free and BentoML at Free.
Does Weka or BentoML run on more platforms?
Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
Can I use Weka for free?
Both have a free tier, so you can try either at no cost before committing.
What is Weka best used for?
Weka is most often used for teaching and exploring classic machine learning algorithms through a gui, running data mining experiments and preprocessing without writing code. Of those, teaching and exploring classic machine learning algorithms through a gui and running data mining experiments and preprocessing without writing code are not what BentoML is typically brought in for.
What can Weka do that BentoML cannot?
Weka covers Classification, Regression, Clustering, Association rules. BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Both handle Linux support, Mac support, Windows support.
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