statsmodels is an open-source Python library that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and data exploration. It is widely used in research, data analysis, and production environments for econometrics, statistics, and data science tasks.

Features of statsmodels:

• Comprehensive support for linear regression, generalized linear models (GLM), and robust regression.
• Time series analysis including AR, ARMA, ARIMA, SARIMA models.
• Statistical tests and diagnostic tools for model evaluation.
• Support for ANOVA, logistic regression, survival analysis, and more advanced statistical techniques.
• Integration with pandas and NumPy for seamless data manipulation and analysis.
• Flexible formula framework for specifying models in a user-friendly syntax.
• Extensive documentation and tutorials for research and learning.
• Open-source and actively maintained by the Python data science community.

To Check the Version of statsmodels :
$ sudo su
$ sudo apt update
$ cd /opt/statsmodels-env
$ source /opt/statsmodels-env/bin/activate
$ pip show statsmodels | grep Version

Disclaimer: statsmodels is an open-source software distributed under the BSD License. It is not affiliated with, endorsed by, or sponsored by any commercial organization. statsmodels is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to statsmodels are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using statsmodels.