KNIME

From LIMSWiki
Jump to navigationJump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
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; 10 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.