pymport VS vinum

Compare pymport vs vinum and see what are their differences.

vinum

Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics. (by dmitrykoval)
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pymport vinum
1 5
76 65
- -
8.9 0.0
7 days ago almost 3 years ago
C++ C++
ISC License 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.

pymport

Posts with mentions or reviews of pymport. We have used some of these posts to build our list of alternatives and similar projects.

vinum

Posts with mentions or reviews of vinum. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-03.

What are some alternatives?

When comparing pymport and vinum you can also consider the following projects:

turbodbc - Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

siuba - Python library for using dplyr like syntax with pandas and SQL

MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

NumCpp - C++ implementation of the Python Numpy library

30-Days-Of-Python - 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks

datatable - A Python package for manipulating 2-dimensional tabular data structures