riptable VS dataframe_sql

Compare riptable vs dataframe_sql and see what are their differences.

riptable

64bit multithreaded python data analytics tools for numpy arrays and datasets (by rtosholdings)

dataframe_sql

A Python package that parses SQL and interprets it as methods that act upon existing pandas (or other types of) DataFrames that have been declared and registered (by zbrookle)
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riptable dataframe_sql
1 1
346 96
0.9% -
6.7 0.0
9 days ago over 2 years ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

riptable

Posts with mentions or reviews of riptable. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-27.

dataframe_sql

Posts with mentions or reviews of dataframe_sql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-04.

What are some alternatives?

When comparing riptable and dataframe_sql you can also consider the following projects:

pandera - A light-weight, flexible, and expressive statistical data testing library

sql_to_ibis - A Python package that parses sql and converts it to ibis expressions

framequery - SQL on dataframes - pandas and dask

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

sandals - SQL for Pandas

tensorflow - An Open Source Machine Learning Framework for Everyone

modin - Modin: Scale your Pandas workflows by changing a single line of code

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch