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python xlrd VS Oracle Data Access Components

Compare python xlrd VS Oracle Data Access Components and see what are their differences

python xlrd logo python xlrd

Please use openpyxl where you can... Contribute to python-excel/xlrd development by creating an account on GitHub.

Oracle Data Access Components logo Oracle Data Access Components

Enjoy the highest performance and unlimited possibilities when working with Oracle
  • python xlrd Landing page
    Landing page //
    2023-08-18
  • Oracle Data Access Components Landing page
    Landing page //
    2023-04-07

Oracle Data Access Components (ODAC) is a library of components that provides native connectivity to Oracle from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. The ODAC library is designed to help programmers develop faster and more native Oracle database applications.

ODAC, a high-performance and feature-rich Oracle connectivity solution, is an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver. It provides both possibilities of connection to Oracle through native Oracle data access and direct Oracle access from Delphi without Oracle Client.

python xlrd features and specs

No features have been listed yet.

Oracle Data Access Components features and specs

  • Direct access to server data. Does not require installation of other data provider layers (such as BDE and ODBC): Yes
  • Interface compatible with standard data access methods, such as BDE and ADO: Yes
  • VCL, LCL and FMX versions of library available: Yes
  • Separated run-time and GUI specific parts allow you to create pure console applications such as CGI: Yes
  • Unicode and national charset support: Yes
  • Highly usable design time support: Yes
  • Easy to deploy: Yes

python xlrd videos

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Oracle Data Access Components videos

How to Connect Devart ODAC to Oracle Database: Step-by-Step Tutorial

Category Popularity

0-100% (relative to python xlrd and Oracle Data Access Components)
Data Science And Machine Learning
Development
0 0%
100% 100
Development Tools
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, python xlrd seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

python xlrd mentions (2)

  • I need to read multiple excel files, extract a column from each and compose a new file
    So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: about 2 years ago
  • Sending Bulk SMS using Africas Talking, Python and Excel
    There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / about 3 years ago

Oracle Data Access Components mentions (0)

We have not tracked any mentions of Oracle Data Access Components yet. Tracking of Oracle Data Access Components recommendations started around Mar 2021.

What are some alternatives?

When comparing python xlrd and Oracle Data Access Components, you can also consider the following products

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

Universal Data Access Components - Enterprise solution at a low price. Powerful functionality with fast and reliable support

python docx - Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

PostgreSQL Data Access Components - Enjoy the highest performance and unlimited possibilities when working with PostgreSQL

Flutter.dev - Build beautiful native apps in record time 🚀

pgAdmin - pgAdmin Website