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What is openpyxl?

Openpyxl is a Python library specifically created for handling Excel 2010 files in various formats, including xlsx, xlsm, xltx, and xltm. This library emerged because there was a lack of a built-in solution for managing Office Open XML files within Python, and it has its roots in the PHPExcel project. It's crucial to recognize that openpyxl does not inherently guard against certain vulnerabilities, such as quadratic blowup or billion laughs XML attacks; however, these threats can be alleviated by utilizing the defusedxml library. To set up openpyxl, you can easily install it using pip, and it is advisable to do this in a Python virtual environment to prevent conflicts with existing system packages. If you're looking to use a particular version of the library, especially if it contains important fixes not yet made public, you can do so without any hassle. Additionally, you can start using openpyxl without needing to create a physical file on your system; just import the Workbook class and commence your operations right away. As you create new sheets, they receive default names, and should you choose to rename a worksheet, you can access it via the relevant key from the workbook. This straightforward functionality contributes to the popularity of openpyxl among Python developers who deal with Excel files, making it an essential tool in their programming toolkit. By simplifying the process of Excel file manipulation, openpyxl allows developers to focus more on their data rather than the complexities of file handling.

What is QueryStorm?

Harness the power of SQL, C#, and VB.NET directly in Excel to transform data, create distinctive functions, and optimize workbook automation. With an integrated development environment like QueryStorm, you benefit from features such as code completion, syntax highlighting, and error corrections, which simplify the coding process remarkably. Sharing your custom functions and automated spreadsheets with clients and colleagues becomes seamless, as they only need the QueryStorm Runtime to utilize them. By enabling yourself to design tailored Excel functions using SQL, C#, or VB.NET, you can use these tools for personal projects or share them with peers. This approach allows for the incorporation of complex business logic into your spreadsheets, significantly improving their interactivity through the use of .NET and SQL coding. In addition, you can take full advantage of personalized workbooks and innovative functions developed by your team, along with valuable Excel extensions provided by the wider community. Utilize your technical skills within Excel to adeptly manage data, construct intelligent workbooks, and collaborate by distributing custom functions to others. This strategy not only boosts productivity but also cultivates a more streamlined workflow across all your projects, ultimately leading to enhanced efficiency and collaboration. Embracing these tools can revolutionize the way you work with Excel, making it a powerful ally in your data management endeavors.

Media

Media

Integrations Supported

Microsoft Excel

Integrations Supported

Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$5 per user 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

openpyxl

Date Founded

2022

Company Website

openpyxl.readthedocs.io/en/stable/

Company Facts

Organization Name

Stormy Range Software

Date Founded

2016

Company Location

Poland

Company Website

www.querystorm.com

Categories and Features

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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