Alternatives to RapidMiner for Windows, Mac, Linux, Web, Software as a Service (SaaS) and more. Filter by license to discover only free or Open Source alternatives. This list contains a total of 24 apps similar to RapidMiner.
RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment. If you're looking for more info about RapidMiner like screenshots, reviews and comments you should visit our info page about it. Below you find the best alternatives.
Looking for other RapidMiner-like programs? We've rounded up our favorites RapidMiner alternatives. Try any one of these fan favorites to see if they'll support your system and meet your specific needs.
R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
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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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Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner". It is actually used extensively for data mining, data analysis and optimization. It can be downloaded as the core application itself(Knime Desktop), or the whole SDK which is based on Eclipse Helios. The knime software can also work with different kinds of extensions which are embedded into the "/downloads/extensions" tabs of the website.
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The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use; flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization find new opportunities, improve efficiency and minimize risk.
Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI. (The application is named after a flightless bird of New Zealand that is very inquisitive.) The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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The task of data transformation is traditionally believed to belong to IT developers while business users are typically left with Excel, or cumbersome Visual Basic and Python scripting. Although there have been attempts to create easy-to-use so-called data preparation utilities, such utilities are suitable only for very simple cases.
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A complete picture of your data Three coordinated views let you see row-level data, profiles of each column, and your entire data preparation process. Pick which view to interact with based on the task at hand. Immediate results If you want to edit a value, you select and directly edit. Change your join type, and see the result right away. With each action, you instantly see your data change, even on millions of rows of data.
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Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform. Analance is a robust, scalable end-to-end platform that combines Data Science, Business Intelligence, and Data Management into one integrated self-serve platform.
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Transform your data without programming. Merge, clean, dedupe, filter and reformat data with a few clicks.
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