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Cylon is a fast, scalable distributed memory data parallel library for processing structured data

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Cylon

Cylon is a fast, scalable distributed memory data parallel library for processing structured data. Cylon implements a set of relational operators to process data. While ”Core Cylon” is implemented using system level C/C++, multiple language interfaces (Python and Java (R in future)) are provided to seamlessly integrate with existing applications, enabling both data and AI/ML engineers to invoke data processing operators in a familiar programming language. By default it works with MPI for distributing the applications.

Internally Cylon uses Apache Arrow to represent the data in a column format.

The documentation can be found at https://cylondata.org

Email - cylondata@googlegrous.com

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Cylon is a fast, scalable distributed memory data parallel library for processing structured data

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  • C++ 63.8%
  • Python 21.1%
  • CMake 6.2%
  • Jupyter Notebook 4.2%
  • Java 3.7%
  • Shell 0.9%
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