Scikit-learn, a powerful Python library used in various unsupervised and supervised learning algorithms, has won the open-source scientific software prize at the OSEC 2022 conference. The library is built on top of NumPy, SciPy, and Matplotlib and provides various tools for model fitting, data preprocessing, model selection and evaluation.
Scikit-learn was developed by David Cournapeau as a Google Summer of Code project in 2007. In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel of INRIA took leadership of the project and released it to the public on February 1, 2010. Since then, several releases have appeared in a ~ 3-month cycle, and a thriving international community has been leading the development.
The core five Inria researchers who are running and maintaining the library for years were awarded the Inria-French Academy of Sciences-Dassault Systèmes Innovation Prize in 2020.
Varoquaux presented a project called ScikitEDS, a visualisation tool to monitor the patient flow developed during France’s first wave of the COVID pandemic in 2020.