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.

Register for KNIME Release Data Talks on December 9.

How can KNIME Software Help in your Data Analysis?


Blend & Transform

Access, merge, and transform all of your data.

Model & Visualize

Make sense of your data with the tools you choose.


Deploy & Manage

Support enterprise-wide data science practices.

Consume & Interact

Leverage insights gained from your data.

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.

Media article

12 Components Built By and For the KNIME Community

Components, for sharing and reusing bundled functionality. It's impressive to see the variety of useful and also fun components built by the community and shared for reuse on the KNIME Hub. Here we highlight twelve....

November 25, 2021 – by Paolo Tamagnini
Social youtube
KNIME Software: Creating and Productionizing Data Science
Automated Workflow Testing and Validation

Automate testing, save time, and catch errors early.

Inventory Level Optimization

Achieve the perfect trade-off between inventory costs and service level.

Disease Tagging

Reduce time spent sifting through medical literature with automatic disease tagging.

Recommendation Engine for Retailers

Increase store level sales through better brand portfolio decision making.

Customer Sentiment Measurement

Evaluate customer pain points to better allocate and manage resources.

Risk Information Extraction

Remove the need for manual work by automatically gathering and harmonizing text-based information.

Semantics and Ontologies

Extracting and sharing knowledge in a reusable way.

Anomaly Detection

Predict when critical equipment parts will go bad to prevent failures and downtime.

Price Benchmarking

Stay ahead of the competition with automated pricing insights.

Automated Workflow Testing and Validation

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Risk Information Extraction

Semantics and Ontologies

Anomaly Detection

Price Benchmarking

Contributor of the Month

We are happy to announce Ashok K Harnal’s automated feature engineering components as the community contributions for November. These community components add unique functionalities to KNIME Hub, and provide good examples on how to bundle and share Python scripts without dependency issues. Visit the Community Component Highlights section on the Verified Component web page to learn more.

Thanks Ashok 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.

Visit Ashok’s Hub Profile

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.