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cudf - cuDF - GPU DataFrame Library

  •    C++

NOTE: For the latest stable README.md ensure you are on the main branch. Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.

cuxfilter - GPU accelerated cross filtering with cuDF.

  •    Jupyter

cuxfilter ( ku-cross-filter ) is a RAPIDS framework to connect web visualizations to GPU accelerated crossfiltering. Inspired by the javascript version of the original, it enables interactive and super fast multi-dimensional filtering of 100 million+ row tabular datasets via cuDF. cuxfilter is one of the core projects of the “RAPIDS viz” team. Taking the axiom that “a slider is worth a thousand queries” from @lmeyerov to heart, we want to enable fast exploratory data analytics through an easier-to-use pythonic notebook interface.

rmm - RAPIDS Memory Manager

  •    C++

Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> device memory transfers, or using a device memory pool sub-allocator to reduce the cost of dynamic device memory allocation. For information on the interface RMM provides and how to use RMM in your C++ code, see below.

pymapd - Python client for OmniSci GPU-accelerated SQL engine and analytics platform

  •    Python

A wrapper for the pyomnisci libarary http://github.com/omnisci/pyomnisci, maintained for backwards compatibility. Existing scripts should be migrated to pyomnisci from pymapd, this library will not be updated moving forward.









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