Getting Started Guide

What is KNIME Analytics Platform?

KNIME Analytics Platform is the leading, free, open-source software for creating data science. It is helping you discover the potential hidden in your data, mine for fresh insights, or predict new features.

KNIME Analytics Platform Panels

Our enterprise-grade, open source platform is fast to deploy, easy to scale, and intuitive to learn. Below are some resources which may help you to start using KNIME. If you haven´t downloaded KNIME Analytics Platform yet, just download it here.

A more detailed explanation of the different views in the KNIME Workbench is provided in the KNIME Workbench Guide, as well as on the introductory video The KNIME Workbench.

 

Build your First Workflow

Let’s say that you have some data that you want to process, analyze and visualize. With the following example workflow, you will read, transform and visualize some sales data.

KNIME Workflow

Download the workflow result.

Nodes and Workflows

KNIME Analytics Platform Node Anatomy

In KNIME Analytics Platform, individual tasks are represented by nodes. Each node is displayed as a colored box with input and output ports. Nodes can perform all sorts of tasks, including reading/writing files, transforming data, training models, creating visualizations, and so on.

More Examples

Jump start your analysis with the example workflows on the KNIME Hub. You can drag and drop the workflows to your local workspace, modify them according to your use case, or copy parts of them to your workflow.

Find even more examples here.

 

Extensions and Integrations

Extensions provide additional functionalities such as access to and processing of complex data types, as well as the addition of advanced machine learning algorithms.

Integrations provide seamless access to some very cool open source projects such as Keras for deep learning, H2O for high performance machine learning, Apache Spark for big data processing, Python and R for scripting, and more.

Learn how to install extensions and integrations here.

 

Self-Paced Courses

KNIME Self-Paced Courses

Start here and learn more about data science, data wrangling, text processing, big data, and collaboration and deployment at your own pace and in your own schedule! Courses are organized by level: L1 basic, L2 advanced, L3 deployment, L4 specialized.

 

Documentation

In our documentation you’ll find a collection of different well curated guides for KNIME Analytics Platform and KNIME Server. For instance you can read a guide about flow variables to control the flow of a workflow and loops to iterate over a certain part of the workflow. The components guide is a detailed guide about how to wrap up nodes and reuse.

Visit KNIME Documentation.

 

KNIME Forum

Join the community and find solutions, support, and other inspirational thoughts from other KNIME users. The KNIME Forum is available for all types of questions, comments and conversations.

Visit KNIME Forum.