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DatView is a GUI for efficiently visualizing data from tables, exploring correlations between parameters, and extracting data subsets easily. It was written for exploring large serial crystallography datasets (specifically using CrystFEL stream files), but is completely general and, provided an appropriate xml file, can be used for any tabulated data.
DatView is a GUI for efficiently visualizing data from tables, exploring correlations between parameters, and extracting data subsets easily. It was written for exploring large serial crystallography datasets (specifically using CrystFEL stream files), but is completely general and, provided an appropriate xml file, can be used for any tabulated data.
Datview was critical in our paper on MHz SFX of Membrane Protein, Gisriel et al. Nature Comm 2019; and Echelmeier, et al. Segmented flow generator for serial crystallography at the European X-ray free-electron laser. Nature Communications 11(4511), 2020 and multiple upcoming publications.
Download: DatView, written by Natasha Stander, and is available from https://github.com/nstander/DatView.
Download: DatView, written by Natasha Stander, and is available from https://github.com/nstander/DatView.
Use: The manual and tutorials are availabled via: https://drive.google.com/file/d/1F_FxLe1uUHscg1r3ILpgdHrVF-MBpSUp/view?usp=drive_link
Use: The manual and tutorials are availabled via: https://drive.google.com/file/d/1F_FxLe1uUHscg1r3ILpgdHrVF-MBpSUp/view?usp=drive_link
The manual & tutorial were last updated in 2019. Just update your DatView to python3 with a small change and it works well. An updated link to our current release will be added here in the future. -- 2026.
Flowchart of where DatView fits into the serial crystallography data processing pipeline
Flowchart of where DatView fits into the serial crystallography data processing pipeline
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