The `corner.py` module, developed by Daniel Foreman-Mackey, is a Python tool that visualizes multidimensional samples using scatterplot matrices. It leverages the matplotlib library to plot one- and two-dimensional projections of the data, revealing covariances. Originally designed for Markov Chain Monte Carlo simulations, `corner` can also be used for various other types of data visualization. The module is actively developed on GitHub and has been widely used in the astronomical community. The source code is archived on Zenodo with a DOI. A simple demonstration of a visualization created with `corner` is provided, showcasing its capabilities.The `corner.py` module, developed by Daniel Foreman-Mackey, is a Python tool that visualizes multidimensional samples using scatterplot matrices. It leverages the matplotlib library to plot one- and two-dimensional projections of the data, revealing covariances. Originally designed for Markov Chain Monte Carlo simulations, `corner` can also be used for various other types of data visualization. The module is actively developed on GitHub and has been widely used in the astronomical community. The source code is archived on Zenodo with a DOI. A simple demonstration of a visualization created with `corner` is provided, showcasing its capabilities.