Software Alternatives, Accelerators & Startups
Register | Login

python xlrd VS PostgreSQL Data Access Components

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

Modelence
Create production-ready applications with zero code featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

python xlrd logo python xlrd

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

PostgreSQL Data Access Components logo PostgreSQL Data Access Components

Enjoy the highest performance and unlimited possibilities when working with PostgreSQL
  • python xlrd Landing page
    Landing page //
    2023-08-18
  • PostgreSQL Data Access Components Landing page
    Landing page //
    2023-04-09

PostgreSQL Data Access Components (PgDAC) is a library of components that provides ability to connect to PostgreSQL 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. PgDAC is designed to help programmers develop really lightweight, faster and cleaner database applications that utilize the PostgreSQL connect without deploying any additional libraries.

PgDAC is a complete replacement for standard PostgreSQL connectivity solutions and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to PostgreSQL. It provides direct access to PostgreSQL without PostgreSQL Client.

python xlrd features and specs

  • Simplicity
    xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
  • Widely Used
    xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
  • Efficient Reading
    It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages of python xlrd

  • No Write Support
    xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
  • Limited to Older Excel Formats
    With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
  • Deprecated Features
    Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

PostgreSQL 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)
  • Interface compatible with standard data access methods, such as BDE and ADO
  • VCL, LCL and FMX versions of library available
  • Separated run-time and GUI specific parts allow you to create pure console applications such as CGI
  • Unicode and national charset support

python xlrd videos

No python xlrd videos yet. You could help us improve this page by suggesting one.

Add video

PostgreSQL Data Access Components videos

+ Add

Discover the Real PostgreSQL Data Access Components

Category Popularity

0-100% (relative to python xlrd and PostgreSQL Data Access Components)

python xlrd

PostgreSQL Data Access Components

Application Builder
100 100%
Application Builder
0% 0
Development
0 0%
Development
100% 100
Development Tools
100 100%
Development Tools
0% 0
Software Development
0 0%
Software Development
100% 100

User comments

Share your experience with using python xlrd and PostgreSQL Data Access Components. For example, how are they different and which one is better?
Log in or Post with

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: over 4 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 / over 5 years ago

PostgreSQL Data Access Components mentions (0)

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

What are some alternatives?

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

Ant Design React - Ant Design is a React UI library that provides a wide range of top-notch demos and components for creating high-profile, interactive User Interfaces without hassle.

Flutter - Build beautiful native apps in record time ๐Ÿš€

Leaflet - Leaflet is a modern, lightweight open-source JavaScript library for mobile-friendly interactive maps.

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

Antiqueruby React Native - Antiqueruby React Native is a pack of Material UI Components that are required by all app developers in their projects.

Loading...