Software · head to head
Orange vs Weka
The short version
- Each has a real cost: 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; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: Orange covers Visual programming, Weka covers Classification.
Where they differ
Only the attributes on which Orange and Weka actually diverge.
Identical on both: starting price (Free), pricing model (open-source), 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 Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- scikit-learn
- PyQt
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
Both cover
- Python
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Orange
- Visual programming for data mining and machine learning workflowsnot Weka
- Teaching data science without writing codenot Weka
- Exploratory data visualisation and clustering on tabular datanot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Orange
- Running data mining experiments and preprocessing without writing codenot Orange
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is Orange or Weka better?
- Neither clearly leads. Orange starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Orange or Weka?
- Orange starts at Free and Weka at Free.
- Does Orange or Weka run on more platforms?
- Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
- Can I use Orange for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Orange best used for?
- Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what Weka is typically brought in for.
- What can Orange do that Weka cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. Weka covers Classification, Regression, Clustering, Association rules. Both handle Python, Linux support, Mac support, Windows support.