arkouda
pyramen
arkouda | pyramen | |
---|---|---|
1 | 1 | |
225 | 0 | |
0.4% | - | |
9.4 | 0.0 | |
7 days ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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
pyramen
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PyRamen - Data Analysis With Python
View on GitHub
What are some alternatives?
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
mito - The mitosheet package, trymito.io, and other public Mito code.
mojo - The Mojo Programming Language
rightmove_webscraper.py - Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
legion - The Legion Parallel Programming System
CleverCSV - CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
chapel - a Productive Parallel Programming Language
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
nimpy - Nim - Python bridge
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
Coconut - Simple, elegant, Pythonic functional programming.
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.