turbodbc VS pymport

Compare turbodbc vs pymport and see what are their differences.

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. (by blue-yonder)
Python Odbc Database exasol Numpy Data Science pep249 python-database-api pyodbc speedup
Source Code
turbodbc.readthedocs.io
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pymport

Use Python libraries from Node.js (by mmomtchev)
Import NodeJS Numpy Pandas Python require compatibility-layer
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turbodbc pymport
2 1
603 74
0.0% -
8.0 8.9
3 days ago 9 days ago
C++ C++
MIT License ISC 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.

turbodbc

Posts with mentions or reviews of turbodbc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-16.
  • Arrowdantic 0.1.0 released
    3 projects | /r/Python | 16 Apr 2022
    It supports reading from and writing to ODBC compliant databases at likely similar performance as turbodbc and it does not require conda to install.
  • arrow-odbc: Fetch arrow arrays from an ODBC data source in a pip installable environment
    2 projects | /r/Python | 23 Nov 2021
    turbodbc is great, but a pain to build, at least without conda. arrow-odbc-py uses cffi (rather than PyO3) to talk to a rust backend and than uses the Arrow C Data interface to provide the user with pyarrow compatible arrow arrays. The use of a dedicated C interface in both places, avoids linking directly against the Python C-Interpreter as well as the specific C++ Arrow libraries your pyarrow version depends on. Avoiding some pain of dependency hell.

pymport

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

What are some alternatives?

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

arrow-odbc-py - Read Apache Arrow batches from ODBC data sources in Python

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

soci - Official repository of the SOCI - The C++ Database Access 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

vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

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

pyexasol - Exasol python driver with low overhead, fast HTTP transport and compression

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

cudf - cuDF - GPU DataFrame Library

arrow2 - Transmute-free Rust library to work with the Arrow format

NumCpp - C++ implementation of the Python Numpy library

turbodbc vs arrow-odbc-py pymport vs MegEngine turbodbc vs soci pymport vs 30-Days-Of-Python turbodbc vs vinum pymport vs PythonDataScienceHandbook turbodbc vs pyexasol pymport vs vinum turbodbc vs Pytorch pymport vs cudf turbodbc vs arrow2 pymport vs NumCpp