arkouda
sweetviz
arkouda | sweetviz | |
---|---|---|
1 | 1 | |
225 | 2,840 | |
0.4% | - | |
9.4 | 6.7 | |
7 days ago | 6 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
arkouda
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Mojo is now available on Mac
Those interested in the intersection between Python, HPC, and data science may want to take a look at Arkouda, which is a Python package for data science at massive scales (TB of memory) at interactive rates (seconds), powered by Chapel:
* https://github.com/Bears-R-Us/arkouda
sweetviz
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Automated Data Profiling and Attribute Clustering using unsupervised ML techniques
Take a look at this package which computes associations between variables and other viz and can infer some types https://github.com/fbdesignpro/sweetviz
What are some alternatives?
mojo - The Mojo Programming Language
dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
legion - The Legion Parallel Programming System
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
chapel - a Productive Parallel Programming Language
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
nimpy - Nim - Python bridge
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
Coconut - Simple, elegant, Pythonic functional programming.
dtale-desktop - Build a data visualization dashboard with simple snippets of python code
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
mlgauge - A simple library to benchmark the performance of machine learning methods across different datasets.