GNU General Public License v3 (with commercial KNIME Hub enterprise extensions)
developer
Michael Berthold and colleagues at the University of Konstanz (development started January 2004)
Core Principles & Analysis
Initiated in January 2004 by Michael Berthold and software engineers at the University of Konstanz, KNIME assembles visual node-and-edge pipelines for extract-transform-load (ETL) preprocessing, machine learning, and reporting.
Adopted across pharmaceutical discovery since 2006, KNIME hosts dedicated community extensions for RDKit, Open Babel, Indigo, ChEMBL, and PDB that allow chemists to filter compound libraries, remove PAINS promiscuous hitters, and build QSAR models.
Its native integration with ImageJ2 and Python allows high-throughput screening teams to join microplate dose-response curves, high-content microscopy features, and chemical structures inside a single auditable workflow.