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What is xlrd?

The xlrd library serves as a valuable resource for developers aiming to extract data from .xls files, a specific format used by Microsoft Excel for spreadsheets. This library is primarily focused on reading the data itself along with the formatting details found in these legacy Excel file formats. It's crucial to understand that xlrd is now restricted to handling only .xls files. The library does not support the processing of elements such as charts, macros, images, or any embedded components like additional worksheets, VBA modules, or formulas; however, it can access results from formula evaluations, comments, hyperlinks, and various filters, including auto, advanced, pivot tables, along with conditional formatting and data validation. Additionally, files that are password-protected cannot be accessed or read through this library. When utilized from the command line, xlrd allows users to view the first, second, and last rows of every sheet within the specified files. Moreover, it's important to highlight that xlrd is made available under the BSD license, granting developers the freedom to use and modify the library according to their requirements. This flexibility makes it a preferred choice among developers who need a straightforward solution for handling older Excel file formats.

What is CubeWeaver?

It provides exceptional scalability when compared to conventional spreadsheets. Utilizing a multidimensional data architecture, it efficiently handles countless worksheets with ease. Users can quickly transform, aggregate, or duplicate millions of cells in just a few clicks, ensuring that data is always ready for business intelligence and dashboard creation. With dependable formulas in place, users no longer need to worry about broken references or monotonous copy-and-paste tasks. The platform allows individuals to articulate complex logic through formulas by utilizing the relationships embedded in the data model, thereby mitigating the risks commonly associated with VLOOKUP errors. Additionally, it accommodates multi-user access, enabling hundreds of people to work collaboratively on the model simultaneously. Built-in security features empower users to manage which parts of each worksheet can be shared, along with options for granting special permissions to add or delete rows. Only designated model designers are permitted to modify or view the formulas, ensuring integrity. More accessible than a traditional multidimensional database, this system is crafted to be intuitive and straightforward, allowing individuals familiar with spreadsheets to master it in just a day or two. Users can still utilize standard functions, and the seamless conversion of many existing spreadsheet models to CubeWeaver further boosts efficiency and productivity. This innovative approach not only streamlines data management but also enhances collaborative efforts, fostering a more productive work environment.

Media

Media

Integrations Supported

Microsoft Excel
Python

Integrations Supported

Microsoft Excel
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$30 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/xlrd/

Company Facts

Organization Name

LPNR

Company Location

Germany

Company Website

cubeweaver.com

Categories and Features

Categories and Features

Financial Reporting

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

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Python Software Foundation