End to End Data Science
At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.
How can KNIME Software Help in your Data Analysis?

KNIME Analytics Platform
KNIME Analytics Platform is the free, open-source software for creating data science.
KNIME Server
KNIME Server is the commercial solution for productionizing data science.
KNIME Partner Awards 2022
Congratulations to Mydral, ClearPeaks, HupData, and Forest Grove Technology, the respective winners of the 2022 Partner of the Year and Partner Innovation Awards.
The KNIME Partner of the Year awards recognize outstanding partner performance across business growth, customer service, training and enablement, and delivery of quality projects. The Partner Innovation Award recognizes partners who share best practices by publishing Innovation Notes or Success Stories. This year the awards have been expanded to include two new regional awards: APAC and the Americas.
Read moreContributor of the Month – June 2022
Congratulations Christophe Molina! Not only is Christophe an active member of the KNIME Forum and a speaker at our events, but has also co-authored several scientific papers on various QSAR topics where he has used KNIME, which you can read below.
- ADME Prediction with KNIME: Prediction of Human Oral Bioavailability
- ADME prediction with KNIME: In Silico Aqueous Solubility
- Automated Framework for QSAR Modeling of Highly Imbalanced Data
- ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
- Isometric Stratified Ensembles: Adaptive Applicability Domain and Consensus Classification of Colloidal Aggregation
Thanks Christophe for your contributions!
Each month we highlight community members who are doing unique and interesting things with KNIME or sharing useful data science tips and tricks.
Christophe's Forum page View Christophe’s latest scientific paperJoin the KNIME Community
Join us, along with our global community of users, developers, partners and customers in sharing not only data science, but also domain knowledge, insights and ideas.