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Description

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

CZ CELLxGENE Discover Yes 
Claude Fable 5.1 Yes 
Cohere Yes 
DeepSeek Coder Yes 
DeepSeek-V4 Yes 
Devin Yes 
GLM-5.1 Yes 
GPT-5.6 Luna Yes 
Gemini 3 Deep Think Yes 
Gemini Code Assist Yes 
Google AI Plus Yes 
Grok 3 Yes 
Grok 3 mini Yes 
Mistral NeMo Yes 
Mixtral 8x7B Yes 
Nixtla Yes 
OpenAI o1-pro Yes 
Opengrep Yes 
Sublime Text Yes 
raylib Yes 

Integrations

CZ CELLxGENE Discover No 
Claude Fable 5.1 No 
Cohere No 
DeepSeek Coder No 
DeepSeek-V4 No 
Devin No 
GLM-5.1 No 
GPT-5.6 Luna No 
Gemini 3 Deep Think No 
Gemini Code Assist No 
Google AI Plus No 
Grok 3 No 
Grok 3 mini No 
Mistral NeMo No 
Mixtral 8x7B No 
Nixtla No 
OpenAI o1-pro No 
Opengrep No 
Sublime Text No 
raylib No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

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

The R Foundation

Website

www.r-project.org

Vendor Details

Company Name

statsmodels

Website

www.statsmodels.org/stable/index.html

Product Features

Product Features

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