Software · head to head
JMP vs Orange
The short version
- Each has a real cost: JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.; 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: JMP covers Interactive statistics, Orange covers Visual programming.
Where they differ
Only the attributes on which JMP and Orange actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Predictive modeling
- Quality control
- SAS
- R
- MATLAB
Only in Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- scikit-learn
- PyQt
- Linux support
Both cover
- Python
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
JMP
- Machine learningnot Orange
- Data analysisnot Orange
- Model trainingnot Orange
- Predictive analyticsnot Orange
Orange
- Visual programming for data mining and machine learning workflowsnot JMP
- Teaching data science without writing codenot JMP
- Exploratory data visualisation and clustering on tabular datanot JMP
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
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
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Which should you pick?
Choose JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
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 JMP or Orange better?
- Neither clearly leads. JMP 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, JMP or Orange?
- JMP starts at Free and Orange at Free.
- Does JMP or Orange run on more platforms?
- JMP runs on Mac, Windows. Orange runs on Linux, Mac, Windows.
- Can I use JMP for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is JMP best used for?
- JMP 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 JMP do that Orange cannot?
- JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Orange covers Visual programming, Data visualization, Machine learning, Text mining. Both handle Python, Mac support, Windows support.
Related pages
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