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The KAVICA framework

Project description

KAVICA The KAVICA framework

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The KAVICA is a HPC data science package which includes pre-processing, post-processing and high level machine learning methods. It provides:

  • powerful feature selection methods.
  • practical (HPC) functions
  • Fast ETL data from HPC performance trace (.prv)
  • convenient dynamic graph object
  • useful missing value imputation, transformation, and handling outliers capabilities
  • innovative cluster shape portrayal
  • ISO map and spectral graph analysis
  • Self- organization map analysis and prototyping
  • association rule analysis
  • inference and Fuzzy inference system
  • and much more scientific uses.

Getting Started

The recommended way to install KAVICA is to use PyPI:

$ pip install kavica

But it can also be installed using Anaconda/conda:

$ conda config --add channels conda-forge
$ conda install kavica

To verify your setup, start Python from the command line and run the following:

$ import kavica

First Steps

Issue tracker

If you find a bug, please help us solve it by filing a report.


If you want to contribute, check out the contribution guidelines.


The main library of kavica is released under the BSD 3 clause license.

Project details

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Files for KAVICA, version 0.0a0
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