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KNIME is an open-source data analytics, reporting, and integration platform, which allows for the creation of visual workflows through a drag-and-drop interface. It is typically used in a variety of data-related tasks including data manipulation and transformation.

TensorFlow is an open-source machine learning library developed by Google. It is used for a range of tasks but is particularly centered around deep learning models. It is used in applications ranging from speech and image recognition to predictive analytics.

SAS Enterprise Miner is a software solution for data mining and predictive modeling. It is designed to integrate with other SAS products and provides advanced algorithms for pattern detection. Typically used in data-heavy industries for risk assessment and decision support.

IBM SPSS Modeler is a powerful predictive analytics platform providing a range of advanced algorithms and analysis techniques, including text analytics, entity analytics, decision management and optimization. It is employed heavily in research and commercial settings for predictive modeling.

RapidMiner is an advanced analytics software that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analysis. It is commonly used in business analytics.

Tableau is a business intelligence tool that focuses on data visualization and discovery. It provides interactive dashboards and the ability to perform ad-hoc analyses. It is widely used in businesses to help make data-driven decisions.

Weka is a collection of machine learning algorithms for data mining tasks that includes tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It's typically used by researchers and educators.

Apache Mahout is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. It emphasizes on collaborative filtering, clustering, and classification.

Orange is an open-source data visualization and analysis tool for both novices and experts. It features a set of machine learning and visual programming components called 'widgets' for data analysis. It's often used in academic settings for teaching data science concepts.