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.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...

DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features.

...Extended data logging and data analysis features of CANStream provide a comprehensive solution for testing and results analysis CANStream extensively uses the PCAN-Basic API developed by PEAK System for the PCAN-USB adapter You will therefore need to have PCAN-USB adapter and at least one free USB port available to make a complete use of CANStream. CANStream can manage up to eight PCAN-USB adapters at the same time, thus you will need eight USB ports available.