python xlrd VS Dropsource

• 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

• 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.

• Ease of Use
  Dropsource provides a user-friendly drag-and-drop interface which makes it accessible for users with little to no coding experience.
• Cross-Platform Support
  Allows you to create applications for both iOS and Android platforms, increasing the reach of your app.
• Real-Time Testing
  Offers real-time testing tools, which enable users to test their applications on actual devices as they are being developed.
• Pre-Built Integrations
  Provides a variety of pre-built integrations for popular APIs and services, speeding up the development process.
• Generated Code Export
  Enables users to export the auto-generated code, allowing further customizations and modifications as needed.

Possible disadvantages

• Cost
  May be relatively expensive for small startups and individual developers, especially if advanced features or higher tiers are required.
• Limited Customization
  While the drag-and-drop interface is easy to use, it may limit the customization options for experienced developers who require more control over their code.
• Learning Curve
  Despite its ease of use, there is still a learning curve involved, particularly for those entirely new to app development.
• Dependency on Platform
  Relies heavily on the Dropsource platform, which could be a risk if the company changes its pricing, policies, or discontinues service.
• Performance Overheads
  Generated code may not be as optimized as hand-written code, potentially leading to performance overheads in complex applications.

No analysis of python xlrd yet.

• 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

Tracking Dropsource since Mar 2021.