Machine Learning & Data Science · head to head
Orange vs H2O.ai
Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
H2O.ai
Machine Learning & Data Science
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -
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; H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- They diverge on capability: Orange covers Visual programming, H2O.ai covers AutoML.
Where they differ
Only the attributes on which Orange and H2O.ai actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- 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 H2O.ai
- Teaching data science without writing codenot H2O.ai
- Exploratory data visualisation and clustering on tabular datanot H2O.ai
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Orange
- Training and productionising models from R or Python against a shared H2O clusternot 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
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
Pricing, plan by plan
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
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 H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Questions people ask
- Is Orange or H2O.ai better?
- Neither clearly leads. Orange starts at Free and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Orange or H2O.ai?
- Orange starts at Free and H2O.ai at Free.
- Does Orange or H2O.ai run on more platforms?
- Orange runs on Linux, Mac, Windows. H2O.ai runs on Web, Cloud.
- 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 H2O.ai is typically brought in for.
- What can Orange do that H2O.ai cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Python, Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
H2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
Source