n8n.io VS python xlrd

• Open Source
  n8n.io is open-source, allowing users to modify and extend the platform as needed. This ensures transparency and community-driven improvements.
• Flexibility
  The platform provides a high degree of flexibility, supporting a wide range of automation scenarios and custom workflow configurations.
• Extensive Integrations
  n8n.io supports many third-party integrations, making it easy to connect various applications and services in workflows.
• Self-hosting Option
  Users can choose to self-host n8n.io, which provides greater control over data security and privacy.
• Visual Interface
  The visual workflow builder makes it easy for users to design and manage workflows without needing extensive coding knowledge.

Possible disadvantages

• Learning Curve
  Due to its flexibility and range of features, n8n.io can have a steeper learning curve for beginners compared to more straightforward automation tools.
• Performance
  Performance can be an issue for complex workflows or high-volume operations, especially when self-hosted on basic infrastructure.
• Documentation
  While improving, documentation can sometimes be lacking or not comprehensive, making it challenging for new users to find necessary information.
• Limited Support
  As an open-source project, professional support may be limited compared to commercial automation platforms, which might offer more robust support options.
• Cost for Cloud Hosting
  n8n.io offers a cloud-hosted version with a subscription fee, which could be a downside for users looking for a completely free solution.

• 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