Project Summary
statsmodels is a pure python package that provides classes and functions for the estimation of several categories of statistical models with numpy and scipy.
These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models, discrete models, Logit, Probit, Multinomial Logit, Poisson and Negative Binomial, models for time series analysis include AR, ARIMA and VAR. An extensive list of result statistics are available for each estimation problem. Besides models for estimation and prediction, statsmodels also has hypothesis tests and other statistical functions.
In a Nutshell, statsmodels...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a large development team
with stable Y-O-Y commits -
...
took an estimated 65 years of effort (COCOMO model)
starting with its first commit in March, 2006
ending with its most recent commit 13 days ago
Quick Reference
BSD 3-clause "New" or "Revised" License
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Use Trademarks
Required
Include Copyright
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
Did You Know...
-
...
there are over 3,000 projects on the Open Hub with security vulnerabilities reported against them
-
...
data presented on the Open Hub is available through our API
-
...
55% of companies leverage OSS for production infrastructure
-
...
check out hot projects on the Open Hub
30 Day SummaryApr 18 2025 — May 18 2025
|
12 Month SummaryMay 18 2024 — May 18 2025
|
