
Blogs
Home > Blogs
Analyzing Open-Source Package Sustainability: Part 2 – Efficient Data Fetching
Machine Learning thrives on data & feature engineering, shaping models for accurate predictions.
In our latest blog, we explore how Package Sustainability Scanner (PSS) we used data and Feature engineering to enhance ML results
Read more & stay ahead
Analysing Open-Source Packages Sustainability using Machine Learning: Part-1: Introduction
In today’s fast-paced digital world, managing software dependencies is crucial to avoid security risks and technical debt. The Package Sustainability Scanner (PSS), powered by machine learning and data modeling, evaluates the long-term viability of open-source packages from the ecosystems such as PyPI and npm by analyzing maintainability, engagement and community support.