Hoppscotch VS python xlrd

• User-Friendly Interface
  Hoppscotch offers an intuitive and clean user interface, making it easy to navigate for both beginners and experienced users.
• Open Source
  Being open-source, Hoppscotch allows for community contributions and transparency, which can lead to rapid development and more features.
• Multi-Platform Support
  Hoppscotch can be used across various platforms including web, desktop, and mobile, providing flexibility for users.
• Real-Time Collaboration
  The platform offers real-time collaboration features, allowing team members to work simultaneously on API requests and collections.
• Extensive Protocol Support
  Hoppscotch supports a wide range of protocols including HTTP, WebSocket, and GraphQL, making it versatile for different types of API testing.
• Customization Options
  Users can customize their work environment and save their collections and environments for future use, enhancing productivity.
• No Login Required
  Users can access basic functionalities without requiring an account, which is convenient for quick and anonymous testing.

Possible disadvantages

• Limited Advanced Features
  While it covers essential functionalities well, Hoppscotch may lack some of the advanced features available in more mature API testing tools like Postman or Insomnia.
• Community-Driven Development
  As an open-source project relying on community contributions, the development of new features and fixes can be slower compared to commercial tools with dedicated development teams.
• Learning Curve for Collaboration
  Though the interface is user-friendly, the real-time collaboration features can have a slight learning curve for new users unfamiliar with collaborative API testing.
• Performance Issues
  Users might experience performance issues, especially when dealing with large collections or running extensive tests, due to the limitations of web-based tools.
• Lack Of Detailed Documentation
  The documentation, while adequate for basic use, might lack in-depth guides and troubleshooting tips for more complex use cases.

• 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.

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• 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