Orange
Machine learning for novice and experts.
Some of the top features or benefits of Orange are: User-Friendly Interface, Open Source, Comprehensive Data Visualization, Extensive Add-Ons, and Machine Learning Capabilities. You can visit the info page to learn more.
Orange Alternatives & Competitors
The best Orange alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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/knime-alternativesKNIME, the open platform for your data.
Key KNIME features:
User-Friendly Interface Extensibility Open Source Robust Community Support
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/jasp-alternativesJASP, a low fat alternative to SPSS, a delicious alternative to R.
Key JASP features:
User-Friendly Interface Open Source Bayesian Methods Integration with R
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Visit websiteProtect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee.
Key TramaTM features:
User-Friendly Interface Comprehensive Trademark Management Automated Monitoring Global Reach
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/weka-alternativesWEKA is a set of powerful data mining tools that run on Java.
Key WEKA features:
User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation
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/rapidminer-alternativesRapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Key RapidMiner features:
Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support
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/jamovi-alternativesjamovi is a free and open statistical platform which is intuitive to use, and can provide the...
Key jamovi features:
User-friendly interface Free and open-source Integration with R Regular updates
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/neural-designer-alternativesNeural Designer is a high performance data science and machine learning platform.
Key Neural Designer features:
User-Friendly Interface High Performance Comprehensive Analytics Wide Range of Applications
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/tensorflow-alternativesTensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Key TensorFlow features:
Comprehensive Ecosystem Community and Support Flexibility Integrations
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/minitab-alternativesMinitab helps businesses increase efficiency and improve quality through smart data analysis.
Key Minitab features:
User-Friendly Interface Comprehensive Statistical Tools Excellent Support and Documentation Integration Capabilities
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/pspp-alternativesPSPP is a free software application for analysis of sampled data.
Key PSPP features:
Free of Cost Compatibility User-Friendly Interface Cross-Platform Support
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/scikit-learn-alternativesscikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Key Scikit-learn features:
Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms
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/bluesky-statistics-alternativesBlueSky Statistics is a fully featured statistics application and development framework built on...
Key BlueSky Statistics features:
User-friendly Interface Integration with R Comprehensive Data Analysis Extensive Documentation
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/r-lang-alternativesR is a free software environment for statistical computing and graphics.
Key R Lang features:
Comprehensive Statistical Analysis Extensive Package Ecosystem Data Visualization Strong Community Support
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/gnu-octave-alternativesGNU Octave is a programming language for scientific computing.
Key GNU Octave features:
Free and Open Source MATLAB Compatibility Extensive Documentation Flexible Integration
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