Google AI ModeOct 15, 2026
requiring multiple libraries (pandas, statsmodels, scikit-learn ) to achieve standard workflows
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Data as of Oct 16, 2026Based on 41,105 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Statsmodels is a Python module that provides classes and functions for estimating many different statistical models, conducting statistical tests, and data exploration.
<1%
of 41,105 answers across statsmodels’s markets · since Jul 5
The market map
Statistical Analysis & Data ToolsMentioned in
Question: What's the best software for a policy analyst to use for statistical analysis of public data?
Google AI ModeOct 15, 2026
requiring multiple libraries (pandas, statsmodels, scikit-learn ) to achieve standard workflows
Share of answers in Statistical Analysis & Data Tools each week · 104 answers since Jul 5
Each engine’s share of its own answers across statsmodels’s markets · since Jul 5
Week of Sep 21–27
Where statsmodels ranks in AI
Question: As an actuary, what is the best software for running complex statistical models and simulations?
ChatGPT SearchSep 8, 2026
The combination of NumPy + SciPy + pandas + statsmodels + scikit-learn + Jupyter gives you a very broad modeling environment.
Question: What's the best software for a policy analyst to use for statistical analysis of public data?
Google AI ModeSep 23, 2026
Python (pandas, numpy, statsmodels ) handles it faster and cleaner than almost anything else.
statsmodels.org 100%Other sites 0%
Excerpts where statsmodels appeared in the AI's answer
Custom Python Stack (SciPy / Statsmodels / PyMC) — Best for offline evaluation or custom pipelines.
SciPy & Statsmodels : If you log your model predictions and user feedback directly into a data lake, writing a lightweight Python script using scipy.stats (for t-tests, chi-squared, or Mann-Whitney U tests) or statsmodels
Excerpts where statsmodels appeared in the AI's answer
requiring multiple libraries (pandas, statsmodels, scikit-learn ) to achieve standard workflows
Python (pandas, numpy, statsmodels ) handles it faster and cleaner than almost anything else.
Excerpts where statsmodels appeared in the AI's answer
The combination of NumPy + SciPy + pandas + statsmodels + scikit-learn + Jupyter gives you a very broad modeling environment.
Python also supports these methods through packages such as statsmodels
Excerpts where statsmodels appeared in the AI's answer
Custom Python/R Pipelines in Data Warehouses (Snowflake/BigQuery + Scikit-Learn/Statsmodels)
using libraries like scikit-learn or statsmodels to explicitly audit probability drift after a pricing event.
