statsmodels Insights

What is statsmodels?

Statsmodels is a Python library that provides classes and functions for estimating and testing statistical models. It includes descriptive statistics, statistical modeling, inference, and hypothesis testing. It is commonly used for time series analysis, regression analysis, and general statistical data analysis.

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What other technologies are related to statsmodels?

statsmodels Competitor Technologies

scikit-learn

Scikit-learn provides tools for statistical modeling, including regression and classification. Thus, it is a competitor to statsmodels.

mentioned alongside statsmodels in 2% (1.6k) of relevant job posts

PyMC3

PyMC3 is a Python package for Bayesian statistical modeling and probabilistic machine learning which competes with Statsmodels for some statistical modelling use cases.

mentioned alongside statsmodels in 28% (94) of relevant job posts

PyMC

PyMC is a Python package for Bayesian statistical modeling and probabilistic machine learning which competes with Statsmodels for some statistical modelling use cases.

mentioned alongside statsmodels in 20% (70) of relevant job posts

Stan

Stan is a probabilistic programming language for specifying statistical models. It is a competitor to statsmodels for some use cases.

mentioned alongside statsmodels in 10% (84) of relevant job posts

Prophet

Prophet is a procedure for forecasting time series data based on an additive model. It competes with statsmodels for time series analysis.

mentioned alongside statsmodels in 1% (74) of relevant job posts