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?
Blend & Transform
Model & Visualize
Deploy & Manage
Consume & Interact
KNIME Analytics Platform
KNIME Analytics Platform is an open source software with an intuitive, visual interface that lets you build analyses of any complexity level. Access, blend, analyze, and visualize data, without any coding, or integrate your favorite tools and libraries as needed.
KNIME Hub is the commercial software for collaborating and scaling data science, offered online as KNIME Community Hub, or installed into a company's private infrastructure as KNIME Business Hub. KNIME Hub provides a single environment for users across different expertises to work together.
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 more
Automate testing, save time, and catch errors early.
Achieve the perfect trade-off between inventory costs and service level.
Reduce time spent sifting through medical literature with automatic disease tagging.
Increase store level sales through better brand portfolio decision making.
Evaluate customer pain points to better allocate and manage resources.
Remove the need for manual work by automatically gathering and harmonizing text-based information.
Extracting and sharing knowledge in a reusable way.
Predict when critical equipment parts will go bad to prevent failures and downtime.
Stay ahead of the competition with automated pricing insights.
Automated Workflow Testing and Validation
Inventory Level Optimization
Recommendation Engine for Retailers
Customer Sentiment Measurement
Risk Information Extraction
Semantics and Ontologies
Contributor of the Month – February 2022
This month, we are excited to announce Dominique Sydow as the Contributor of the Month for February 2023! Dominique is the first author of the paper “ TeachOpenCADD-KNIME: A Teaching Platform for Computer-Aided Drug Design Using KNIME Workflows ” published in 2019 by the American Chemical Society. The paper describes a KNIME workflow for different computer-aided drug design (CADD) tasks: a valuable resource for teaching students and life sciences low-coders. The workflow, publicly available on the KNIME Community Hub, is divided into eight components ready for execution on some example data. There is a different component for each topic, such as how to fetch, filter and analyze compound data.
Thanks for your contributions to the KNIME community!
Each month we highlight community members who are doing unique and interesting things with KNIME, or who are sharing useful data science tips and tricks.View Paper View Workflow
Join 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.