Scikit-learn¶

Very popular, extensive, and well-designed library for predictive data analysis.

Logo
Website	https://scikit-learn.org/stable/
Repository	https://github.com/scikit-learn/scikit-learn
Byline	A Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
License	BSD 3-clause
Project age	12 years 11 months
Backers	Chan Zuckerberg Initiative (Grant), Quansight (Commercial support), Scikit-Learn Consortium at Inria Foundation (Grant)
Lastest News (2022-05-12)	scikit-learn 1.1.0 We are pleased to announce the release of scikit-learn 1.1! Many bug fixes and improvements were added, as well as … more
Size score (1 to 10, higher is better)	8.5
Trend score (1 to 10, higher is better)	5.5

Education Resources¶

URL	Resource Type	Description
https://scikit-learn.org/stable/user_guide.html	Documentation	Official project documentation.
https://scikit-learn.org/stable/tutorial/basic/tutorial.html	Documentation	This is a good tutorial site.

Git Commit Statistics¶

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	106,724	17,978
Lines committed	23,838,995	1,402,318
Unique committers	2,842	449
Core committers	24	12

../_images/scikit-learn_scikit-learn-monthly-commits.png

Similar Projects¶

Project	Size Score	Trend Score	Byline
PyCaret	8.5	8.0	An open-source, low-code machine learning library in Python.
Shogun	4.5	2.0	Shogun is an open-source machine learning library that offers a wide range of efficient and unified machine learning methods.
Smile	5.0	2.25	Statistical Machine Intelligence & Learning Engine
cuML	6.0	5.75	A suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.