--- title: KNIME Analytics Platform --- ## KNIME Analytics Platform Knime is a open-source platform for data science. It allows loading, cleaning, blending of data from many sources, data analysis, and data output/storage. Knime processes data with a series of nodes that either load, transform, manipulate, analyze, or otherwise work on tabular data in a series of steps that can be linked together in a workflow. With the addition of extensions from the community, integration of scripts written in Python, Java, R, and others is also possible, so that if a tool doesn't exist, you can create your own. Knime workflows can also be run from the command line, enabling the automation of data analytics processes. ## What Can KNIME Be Used For * data cleaning and transformation * numerical simulation * statistical modeling * data visualization * machine learning * deep learning * big data * google sheets * sentiment analysis * social media study ## Downloading and Installation Download here: [Knime download page](https://www.knime.com/downloads/download-knime) Installation is self-contained, and has no depoendencies for the core program. Knime is based off of Eclipse and contains a bundled Java runtime. For script nodes that use Python or R, you must download and install those packages and inform Knime of where their executables are located. ## Links * [Knime Learning Resources](https://www.knime.com/resources)