Devart Python Connector for BigCommerce

Devart Python Connector for BigCommerce

License:Shareware $99.95

Latest version:1.0.1

Latest update:

Screenshot

Screenshot

Description

Devart Python Connector for BigCommerce is an excellent Python connectivity solution for accessing BigCommerce from your Python applications, both to read and update data. The connector is developed by Devart and has recently been updated to its latest version, 1.0.1. At a file size of 69.8 MB, the connector is distributed as a wheel package, making it easy to download and install.

For those who need a robust solution that fully implements the Python DB API 2.0 specification, this connector is particularly useful. It offers compatibility with Python versions from 3.7 to 3.12 and shows a seamless integration with widely-used frameworks and libraries such as SQLAlchemy, pandas, and petl.

In terms of platform compatibility, the Devart Python Connector for BigCommerce supports:

  • Windows (32-bit and 64-bit)
  • Windows Server (32-bit and 64-bit)
  • macOS (64-bit and ARM, including Apple M1 and M2)
  • Linux (64-bit)

This extensive range of supported platforms ensures that developers can work in the environment they are most comfortable with.

Pros:

  • Easy to download and install
  • Wide range of platform support
  • Full implementation of Python DB API 2.0
  • Compatibility with major Python frameworks and libraries

Cons:

  • Relatively large file size (69.8 MB)
  • Only supports BigCommerce; not a universal connector

Overall, the Devart Python Connector for BigCommerce offers a comprehensive, reliable, and free solution for anyone needing to access BigCommerce data within Python applications.

You may want to check out more software, such as Devart ODBC Driver for BigCommerce, Devart Python Connector for xBase or Devart Python Connector for SQLite, which might be related to Devart Python Connector for BigCommerce.

Comments

Thank you for rating the program!
Please add a comment explaining the reasoning behind your vote.
Your vote: