Orange
Machine learning for novice and experts.
- Free • Open Source
- Mac
- Windows
- Linux
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What is Orange?
Orange is an open-source, cross-platform data mining and machine learning suite. It features visual programming as intuitive means of combining data analysis and interactive visualization methods into powerful workflows. Visual programming enables users who are not programmers to manage, preprocess, explore and model data. With many functionalities aboard, this software can make data mining and machine learning easier for novice and expert users.
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Features Vote on or suggest new features
- Visual Programming
- Data science
- Graphical User Interface
- Interactive Visualization
- Extensible by Plugins/Extensions
- Machine Learning
- Data Mining
- Python-based
- Text Analytics
- Flow diagram visualisation
- Project Management
Supported Languages
- English
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Comments and Reviews Post a comment / review all • positive • negative relevance • date
Said about Orange as an alternative
Orange is a GOOD program and valuable addition for data analysts.
Can it Replace Matlab. No, but it's very valuable alongside Matlab
reza_tajdar orange is so familiar app to knime
Categories
Business & Commerce • DevelopmentTags
- image-analysis
- visualization
- development
- big-data
- machine
- statistics
- data-automation
- data-analysis
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Orange
Summary
Our users have written 2 comments and reviews about Orange, and it has gotten 32 likes
- Developed by University of Ljubljana
- Open Source and Free product.
- Written in
- Average rating of 4.5
- 16 alternatives listed
GitHub repository
- 3,412 Stars
- 809 Forks
- 86 Open Issues
- Updated May 17, 2022
Popular alternatives
- 1
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Orange was added to AlternativeTo by camilitonolosabetodo on Feb 10, 2011 and this page was last updated Oct 19, 2021.
Recent user activities on Orange
- emmanuelmds added Orange as alternative(s) to Gaio Analytics Platform27 days ago
- tomiolavitoivio thinks CloudStat is an alternative to Orange7 months ago
- AntumDeluge edited Orange7 months ago
Best to be used in class. Don't judge a book by its cover, since it is a good way to get kids to start trying ML.
Relatively easy to use, good learning materials online