Metadata-viewer is a Python package designed to help you easily visualize metadata from various file formats mainly for visualizing metadata associated with cryo-electron microscopy (cryo-EM) data. Its primary functionality includes displaying data in both table and image gallery modes. This package is capable of handling large datasets with millions of rows and performing operations such as selecting and sorting quickly. While its core purpose is to serve as a viewer within the Scipion framework, it can also be used independently outside of Scipion. The package facilitates the exploration of cryo-EM-related information and other types of metadata through efficient data manipulation and visualization, making it a valuable tool for researchers in the field. It is available as a small self-contained Python module.
You can install MetadataViewer using pip:
pip install metadata-viewer
TODO
MetadataViewer supports a wide range of file formats(through Scipion), including but not limited to:
- star files
- xmd files
- sqlite files
MetadataViewer is an open-source project, and contributions from the community are welcome. If you'd like to contribute or report issues, please visit our GitHub repository. GitHub repository.
- Yunior C. Fonseca Reyna, Biocomputing Unit, National Center of Biotechnology, Madrid, Spain
- Pablo Conesa Mingo, Biocomputing Unit, National Center of Biotechnology, Madrid, Spain
- Jorge Jiménez, Biocomputing Unit, National Center of Biotechnology, Madrid, Spain
python3 -m unittest discover metadataviewer/tests