KNIME

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KNIME
KNIME logo.gif
Developer(s) Chair for Bioinformatics and Information Mining at University of Konstanz
Initial release July 28, 2006 (2006-07-28) (1.0.0)[1]
Stable release

5.2.0  (December 6, 2023; 3 months ago (2023-12-06))

[±]
Preview release none [±]
Written in Java
Operating system Cross-platform
Type Data management and analysis software
License(s) GNU General Public License v3.0
Website KNIME.org

KNIME (Konstanz Information Miner) is a free open-source data management and analysis platform that manages "data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting."[2]

Product history

In early 2004, a team of at the University of Konstanz software developers with experience developing pharmaceutical applications began working on a new collaboratory research tool for data management, analysis, and visualization.[3] On July 28, 2006, a version 1.0.0 was released to the public as free open-source software.[1]

Version 2.0 of the software was introduced in December 2008 with a new workflow engine and database functionality.[4] With the release of version 2.1.0 on October 23, 2009[4], KNIME moved from the Aladdin Free Public License to the GNU General Public License, v3.0.[3] The December 2010 release of 2.3.0 brought KNIME to Mac OS X for the first time.[5]

Development for KNIME has been steady since its debut.

Releases

Release dates for all KNIME releases can be found here and here (archived).

Features

The main features of KNIME include[6]:

  • scalable
  • extensible via a well-defined API for plugin extensions
  • import/export of workflows
  • parallel execution on multi-core systems
  • command line version for "headless" batch executions

Modules supply additional functionality like:

  • retrieve data from files or data bases
  • pre-processes input data in various ways
  • visualize data and results through several interactive views
  • hilited data points in one view are also immediately hilited in all other views
  • data mining algorithms like clustering, rule induction, decision tree, etc.
  • reporting

Hardware/software requirements

No requirements are listed on the installation page.

Videos, screenshots, and other media

Entities using KNIME

Further reading


External links

References

  1. 1.0 1.1 "KNIME: News". University of Konstanz. 3 June 2008. Archived from the original on 19 July 2008. https://web.archive.org/web/20080719035912/http://www.knime.org/news.html. Retrieved 27 May 2014. 
  2. "KNIME - Professional Open-Source Software". KNIME.com AG. http://www.knime.org/. Retrieved 27 May 2014. 
  3. 3.0 3.1 "KNIME Open Source Story". KNIME.com AG. http://www.knime.org/knime-open-source-story. Retrieved 27 May 2014. 
  4. 4.0 4.1 "KNIME - Changelogs". KNIME.com AG. https://tech.knime.org/changelogs. Retrieved 27 May 2014. 
  5. "Download KNIME Desktop & SDK". KNIME.com AG. http://www.knime.org/node/81. Retrieved 27 May 2014. 
  6. "KNIME - Features". KNIME.com AG. http://www.knime.org/features. Retrieved 27 May 2014.