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Description

Openpyxl is a Python library designed for reading and writing Excel 2010 files in formats such as xlsx, xlsm, xltx, and xltm. The library was developed due to the absence of a native solution for handling Office Open XML files in Python, and it owes its origins to the PHPExcel project. It is important to note that openpyxl does not provide protection against certain vulnerabilities like quadratic blowup or billion laughs XML attacks by default, but these risks can be mitigated by installing the defusedxml library. To install openpyxl, you can use pip, and it's recommended to perform this installation within a Python virtual environment to avoid conflicts with system packages. In some instances, you may want to work with a specific version of the library, especially if there are fixes that have not yet been released officially. Fortunately, you do not need to create an actual file on your filesystem to begin using openpyxl; simply import the Workbook class and begin your tasks. When you create sheets, they are automatically assigned names, and once you rename a worksheet, you can access it using the corresponding key from the workbook. This ease of use makes openpyxl a popular choice for many Python developers working with Excel files.

Description

Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anaconda No 
Microsoft Excel Yes 
Python No 

Integrations

Anaconda Yes 
Microsoft Excel No 
Python Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

openpyxl

Founded

2022

Website

openpyxl.readthedocs.io/en/stable/

Vendor Details

Company Name

statsmodels

Website

www.statsmodels.org/stable/index.html

Product Features

Product Features

Alternatives

Alternatives