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Software · head to head

BentoML vs Orange

BentoML logo

BentoML

Software

Build production-ready ML applications

From
Free
Rated
-
Orange logo

Orange

Software

Data mining and visualization toolkit

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
  • They diverge on capability: BentoML covers Model packaging, Orange covers Visual programming.

Where they differ

Only the attributes on which BentoML and Orange actually diverge.

Attributes where BentoML and Orange differ
AttributeBentoMLOrange
Pricing modelfreemiumopen-source
Founded20191996

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 BentoML

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

Only in Orange

  • Visual programming
  • Data visualization
  • Machine learning
  • Text mining
  • Bioinformatics
  • Python
  • PyQt

Both cover

  • scikit-learn
  • Linux support
  • Mac support
  • Windows support

What people use each for

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

BentoML

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

Orange

  • Visual programming for data mining and machine learning workflowsnot BentoML
  • Teaching data science without writing codenot BentoML
  • Exploratory data visualisation and clustering on tabular datanot BentoML

Where each one falls short

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

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.

Orange

  • Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
  • The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
  • Orange add-ons may carry additional licensing requirements set in their own licence files
  • Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
  • The software is distributed without any warranty of merchantability or fitness for a particular purpose

Pricing, plan by plan

BentoML

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

Orange

Free
  • Open SourceFree
    • Visual programming
    • Machine learning
    • Data visualization

Which should you pick?

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.

Choose Orange if

  • You need visual programming.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.

Questions people ask

Is BentoML or Orange better?
Neither clearly leads. BentoML starts at Free and Orange at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BentoML or Orange?
BentoML starts at Free and Orange at Free.
Does BentoML or Orange run on more platforms?
Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
Can I use BentoML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BentoML best used for?
BentoML is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Orange is typically brought in for.
What can BentoML do that Orange cannot?
BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Orange covers Visual programming, Data visualization, Machine learning, Text mining. Both handle scikit-learn, Linux support, Mac support, Windows support.

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