Modern scientific publications often require complex figures with multiple panels and graphs, demanding consistent formatting across diverse data types. Crucial to this formatting is the precise handling of scale, pixel size, and aspect ratio, especially for microscopy and imaging data where these factors are key to accurate representation and comparison of results. Hence, creating figures can be time-consuming and tedious. We present PyFigures, a Python-based software designed to streamline the process of creating scientific figures, particularly for microscopy and imaging data. PyFigures offers automated layout handling, flexible figure structuring, automated lettering, and template creation. It supports multi-dimensional images, various input formats, and multiple export options. The tool's integration with Python[1] and Matplotlib[2] allows for custom data visualization, while its text-based serialization ensures long-term compatibility. PyFigures aims to simplify daily figure creation tasks while providing the flexibility needed for publication-quality images. To learn more about PyFigures or to try it out, visit our GitHub page: https://github.com/baigouy/PyFigures