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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
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.