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.
User Friendly Interface Floot offers an intuitive and easy-to-navigate interface, making it accessible for users of all tech proficiency levels.
Comprehensive Features Floot provides a wide range of features that cater to various needs, ensuring users have all the tools they need in one platform.
Strong Customer Support The platform is known for its reliable customer support, providing quick and effective solutions to user inquiries and issues.
Regular Updates Floot is frequently updated with new features and improvements, ensuring the platform remains relevant and up-to-date with user demands.
Possible disadvantages
Cost Depending on the plan chosen, Floot can be relatively expensive, which might not be suitable for users with a tight budget.
Learning Curve Despite its user-friendly design, new users might need some time to fully adapt to and take advantage of all the features offered by Floot.
Limited Offline Access Floot's functionality is heavily reliant on internet connectivity, making it less useful in areas with unstable or no internet access.
Integration Challenges Some users have reported difficulties when trying to integrate Floot with other third-party applications and services.
Analysis
An editorial look at what each product does well and who it suits.
python xlrdFloot
No analysis of python xlrd yet.
Overall verdict
Floot appears to be a capable platform, though as with any service its value depends on your specific needs, budget, and how well its features align with your goals.
Why this product is good
Offers a focused set of features designed to solve specific user problems efficiently
May provide a user-friendly experience that reduces the learning curve for new users
Could offer competitive pricing or flexible plans suited to different budgets
Potentially includes reliable customer support and regular updates
Recommended for
Individuals or teams looking for a streamlined tool to address their particular workflow needs
Small to medium businesses seeking an affordable and easy-to-use solution
Users who value simplicity and prefer a focused product over feature-heavy alternatives
Anyone wanting to trial the service before committing, to verify it fits their use case
I moved my projects from Lovable and Replit to Floot and never looked back. Their support is excellent.
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
python xlrd2 mentionsFloot0 mentions
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 Floot since Aug 2025.
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