KNIME extensions provide additional functionality for KNIME ranging from one node to allow the writing into XLS file format to around 100 nodes wrapping machine learning algorithms from Weka. Below you can find a list, where each available KNIME extension is described in more detail. How they are installed is described on the update manager help page.
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With this feature that integrates the statistics project R into KNIME it is possible to run snippets of R code as one step of the workflow, open R views, or even learn models within R. You can either integrate your local R installation or connect to an R Server.
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KNIME itself has only very limited “chemistry-aware” functionality, for full-featured functionality check out the products of our partners. However, some cheminformatics is available in three plug-ins:
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A large part of the functionality of the machine learning library WEKA is available with this plug-in. It integrates around 100 algorithms for clustering, classification, regression, and association rule mining.
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This feature is based upon the Eclipse project BIRT (Business Intelligence and Reporting Tools) and provides two nodes to generate static tabular reports of your data:
Renders also image data or molecules.
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This plug-in contains a single node called "Math Formula", which allows you to evaluate free-form mathematical expressions. The result is appended as a new column to the input table. The functionality is like the one of the Java-snippet node (which is part of the KNIME base package) but without the requirement of knowing the Java language.
This node uses code from JEP 2.4.1, a Java library for parsing and evaluating mathematical expressions, which is released under the terms of the GNU GENERAL PUBLIC LICENSE (GPL). The source code of the used library is available here for download.
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This node writes out the datatable into a spreadsheet of a workbook. The files can be read then with other applications like Microsoft Excel, for example. This plugin makes use of libraries from the Jakarta POI project which is part of and copyrighted by the Apache Software Foundation.
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Allows running an external program on the data. NOTE: Running an external executable takes the control out of KNIME's hands. This node may crash or hang KNIME and you risk loosing any unsaved data. There will be no progress, no cancel option, in case of failure processes may be dangling in your system, etc. Highlighting will not work across this node. Colors are lost. Use this node at your own risk!
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This plug-in provides an interface to execute python scripts in KNIME. Thanks to Tripos for providing these nodes.
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The KNIME's Distance Matrix feature enables the processing of distance and similarity values within KNIME. There are several nodes available that allow for reading, writing and calculation of distance matrices as well as nodes that operate on distance values. For more information see the detailed description.
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An integration of the library for support vector machines (LIBSVM) by Chih-Chung Chang and Chih-Jen Lin.