This project is a Python library used to map high-dimensional data to low-dimensional spaces, aiding researchers in understanding complex datasets. Compared with t-SNE, it excels in preserving the global structure of the data, capable of efficiently performing high-dimensional to low-dimensional mapping, suitable for a variety of scenarios such as data visualization, feature extraction, and cluster analysis.