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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 Plotly Dash?

Dash and Dash Enterprise empower users to create and distribute analytic web applications utilizing Python, R, or Julia, eliminating the need for JavaScript or DevOps expertise. Leading companies worldwide leverage AI, machine learning, and Python analytics, achieving remarkable results at a significantly lower expense compared to traditional full-stack development. Dash serves as their solution. Applications and dashboards capable of executing sophisticated analyses, including natural language processing, forecasting, and computer vision, can be efficiently delivered. You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs. Dash enables rapid deployment and updates of applications without requiring a dedicated IT or DevOps team. Furthermore, you can design visually stunning web apps and dashboards without any need for CSS coding. Kubernetes simplifies scaling processes, and the platform also ensures high availability for essential Python applications, making it an ideal choice for businesses looking to enhance their analytical capabilities. Overall, Dash and Dash Enterprise revolutionize the way organizations approach analytics and application development.

Media

Media

Integrations Supported

Microsoft Excel

Integrations Supported

Comet
F#
Julia
Kedro
Lyftrondata
MATLAB
Make
NVIDIA RAPIDS
OpenMemory
Python
R
Tableau
ThinkData Works
Voxel51
Zepl
data.world
navio
neptune.ai
skills.ai

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

openpyxl

Date Founded

2022

Company Website

openpyxl.readthedocs.io/en/stable/

Company Facts

Organization Name

Plotly

Date Founded

2013

Company Location

Canada

Company Website

plotly.com

Categories and Features

Component Libraries

Not specified

Categories and Features

Component Libraries

Not specified

Data Science

Not specified

Data Visualization

Analytics
Dashboard Creation
Simulation Models

Embedded Analytics

Not specified

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