KNIME
 | |
| Developer(s) | Chair for Bioinformatics and Information Mining at University of Konstanz |
|---|---|
| Initial release | July 28, 2006 (1.0.0)[1] |
| Stable release |
5.2.0 (December 6, 2023) [±] |
| 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
- KNIME documentation
- KNIME screenshots
- KNIME current download
- KNIME previous downloads
- An online source code repository is seemingly not available as of May 2014.
Entities using KNIME
Further reading
- Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Gabriel, Thomas R.; Kötter, Tobias; Meinl, Thorsten; Ohl, Peter; Sieb, Christoph; Thiel, Kilian; Wiswedel, Bernd (2008). "KNIME: The Konstanz Information Miner". In Preisach, C.; Burkhardt, H.; Schmidt-Thieme, L.; Decker, R. (PDF). Data Analysis, Machine Learning and Applications. Springer-Verlag Berlin Heidelberg. pp. 319–326. doi:10.1007/978-3-540-78246-9. ISBN 9783540782469. http://www.inf.uni-konstanz.de/bioml2/publications/Papers2007/BCDG+07_knime_gfkl.pdf.
External links
References
- ↑ 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.
- ↑ "KNIME - Professional Open-Source Software". KNIME.com AG. http://www.knime.org/. Retrieved 27 May 2014.
- ↑ 3.0 3.1 "KNIME Open Source Story". KNIME.com AG. http://www.knime.org/knime-open-source-story. Retrieved 27 May 2014.
- ↑ 4.0 4.1 "KNIME - Changelogs". KNIME.com AG. https://tech.knime.org/changelogs. Retrieved 27 May 2014.
- ↑ "Download KNIME Desktop & SDK". KNIME.com AG. http://www.knime.org/node/81. Retrieved 27 May 2014.
- ↑ "KNIME - Features". KNIME.com AG. http://www.knime.org/features. Retrieved 27 May 2014.
