Browzarr–Interactive Viewing and Inference of Multidimensional Datasets

The scale and complexity of multidimensional scientific data, particularly in Earth sciences, necessitate the distillation of all that information into a palatable visual form. This process is most efficient when visualizing and interacting with the data in its native higher dimensional form. Despite their inherent 3D and 4D structure, these data are frequently reduced to static 2D plots or animated sequences, obscuring critical spatial relationships, temporal dynamics, and emergent patterns.
3D or 4D visualization is constrained to standalone applications or niche GPU-powered libraries. These options provide powerful capabilities but require significant software installation, specialized workflows, and domain-specific expertise, creating a high barrier to entry that deters many researchers. 

We introduce Browzarr, an open-source framework designed to facilitate convenient multidimensional data exploration from any web connected device. With native support for Zarr and NetCDF, users can immediately dive into their data with no additional configuration, installs, or dependencies. A modular architecture and open-source design ensures adaptability to evolving research needs, enabling seamless integration with emerging data formats, analytical workflows, and user-driven extensions.