statsmodels¶
Developed and maintained by individual contributors. “Most results have been verified with at least one other statistical package: R, Stata or SAS.”
Logo |
|
---|---|
Website |
|
Repository |
|
Byline |
Statistical modeling and econometrics in Python |
License |
BSD 3-clause |
Project age |
16 years 9 months |
Backers |
AQR (Sponsored by), Google (Sponsored by), statsmodels (Creator and maintainer) |
Lastest News (2021-10-01) |
Release 0.13.0 The statsmodels developers are happy to announce the first release candidate for 0.13.0. 227 issues were closed in this … more |
Size score (1 to 10, higher is better) |
7.25 |
Trend score (1 to 10, higher is better) |
5.75 |
Education Resources¶
URL |
Resource Type |
Description |
---|---|---|
Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
---|---|---|
Commits |
63,658 |
6,026 |
Lines committed |
14,285,129 |
1,209,930 |
Unique committers |
406 |
54 |
Core committers |
8 |
8 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
---|---|---|---|
7.5 |
6.5 |
A C++ standalone library for machine learning |
|
6.25 |
6.5 |
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more |
|
8.25 |
4.0 |
The fundamental package for scientific computing with Python. |
|
7.25 |
5.25 |
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. |
|
7.0 |
6.0 |
GPU dataframe library |