NativeScript VS python xlrd

• Cross-Platform Development
  NativeScript allows developers to write code once and deploy it across multiple platforms, including iOS and Android, which saves time and resources.
• Native Performance
  Since NativeScript directly uses native components, it delivers high performance comparable to native applications, unlike some other cross-platform solutions.
• Rich Ecosystem
  NativeScript offers a rich ecosystem of plugins and modules, making it easy to extend functionalities and integrate with various services.
• Single Codebase
  Maintaining a single codebase for both iOS and Android reduces development and debugging efforts.
• Open Source
  Being open source, NativeScript has strong community support and continuous improvements driven by developers around the world.
• Access to Native APIs
  NativeScript allows direct access to native APIs, giving developers more flexibility and control over platform-specific features.

Possible disadvantages

• Steep Learning Curve
  The framework requires an understanding of native development concepts, which can be complex for new developers or those not familiar with mobile development.
• Lack of Third-Party Components
  Compared to more mature frameworks, NativeScript has a limited number of third-party libraries and UI components available.
• Performance Overhead
  Despite high performance, there is still some overhead compared to fully native applications due to the abstraction layer.
• Limited Community Support
  Although the community is growing, it is still smaller compared to mainstream frameworks like React Native or Flutter, which might result in slower issue resolution and fewer resources.
• Maintenance and Updates
  Keeping the framework and its plugins up to date with the latest iOS and Android releases can be challenging and resource-intensive.

• 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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NativeScript VS React Native 2019 | performance | community | plugins

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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