freeCodeCamp/guide/english/data-science-tools/knime/index.md

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title: KNIME Analytics Platform
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## 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)