This extension adds operators to insert data from RapidMiner processes into pre-formatted and desigend excel sheets. Any formatting, charts, etc will be preserved and updated to show the new data.

This extension contains a number of operators designed for converting different IOObjects into other useful representations.

This extension allows to build new operators out of processes without any coding and bundle them into extensions.

This extension provides various data search and integration methods for enriching (extending) a data table, using a heterogenous tabular corpus. These include Correspondence Search (Search-Join for single attribute) including human-in-the-loop refinements, Unconstrained and Correlation Search. Some operators of this extension require a Data Search server developed by University of Mannheim, which maintains the public enpoints.

Some data processing operations missing from RapidMiner core, but available in SQL databases.

Visually define data prep or ETL workflows and execute them directly in the database. Reduce data transfer by loading only the data you need after preparation.

This extension facilitates database tasks with RapidMiner: Build database queries using the extension's 14 query-building operators or write your own SQL code. Further features include transaction safety and autogenerated IDs.

A collection of very useful operators for professionals using RapidMiner in complex, high volume scenarios, especially industrial applications.

Extension to use data from Linked Open Data in RapidMiner, both as input to the data mining process as well as for adding background knowledge to existing problem.

The Mannheim RapidMiner toolbox contains operators from various categories; ranging from slightly modified implementations of original operators to new preprocessing and learning operators.

The Model Management extension provides operators to keep track of various different models and their predictive performances.

Operators provided by this plugin allow user to display scatterplot visualizations of data together with their models and therefore perform a sensitivity analysis of the models. This allows human user to understand especially the blackbox models better - this includes complex models such as neural nets, however, the plugin is suitable for any PredictionModel.

Parse Name Structure, Extract Gender, Origin from Personal Names.

This extension couples some useful additional operators together.

The optimization plugin for RapidMiner aims to introduce mathematical optimization based learning capability to RapidMiner. An unconstrained optimization problem, which is called learning or training in machine learning can be solved with different algorithms.

Note: This extension is no longer supported as of RapidMiner Studio 7.2! The Parallel Processing Extension adds new versions of some RapidMiner operators to your data mining system which will perform their tasks in parallel. With this extension you can easily improve the execution speed of many analysis processes by performing sub-processes and sub-tasks in parallel on a multi-core machine.

The Python scripting extension integrates RapidMiner with the data scientist-friendly and widely used programming language Python and allows to embed Python code into RapidMiner processes.

The R scripting extension integrates RapidMiner with the well-known statistical language R and allows to embed R scripts into RapidMiner processes. Requires Studio 6.4 or newer!

Unleash the full power of cryptography directly from within RapidMiner!

The Finance and Economics Extension for RapidMiner gives you quick and easy access to over 150,000 finance and economic time series data sets and more. You can also transform and analyze the data using various financial operators included in the the operator set. Integrate stock, index and other time series easily into your RapidMiner workflow.

RapidMiner Radoop is a code-free environment for designing advanced analytic processes that push computations down to your Hadoop cluster. You need a specific license to use this product.

This extension adds two new set of operators to RapidMiner which can be used for item recommendation and rating prediction.

This extension adds new operators to RapidMiner which can be used to generate reports consisting of tables and visualizations generated by RapidMiner.

This extension provides operators for processing time series and includes a variety of preprocessing steps as well as various methods for extracting features from value series.

This extension enables user to apply Shapelet analysis on their time series data. For more information see X. Renard, M. Rifqi, G. Fricout, M. Detyniecki : EAST representation: fast discovery of discriminant temporal patterns from time series, ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Riva Del Garda, Italy (2016)

The extension contains the set of most frequently used methods from the field of descriptive statistics for complementing the advanced analytics methods in RapidMiner with a set of more commonly known methods. It adds distribution tests, survival curves and descriptive methods in a way, that everything can be seamlessly integrated with any RapidMiner process, including Web Apps and Reports with the Advanced Reporting Extension.

This operator does approximate string matching for the each string present in the example set with the text present in document.

Since version 9.0.0 this extension is automatically included in RapidMiner Studio and Server. Therefore installing this extension now longer required or recommended. The extension adds Operators to perform Time Series analysis. This includes transformations, forecasting, feature extraction, windowing and more.