
Yambopy is a python package providing additional functionalities for both Quantum Espresso (QE) and Yambo. It deals with simulation data analysis and visualization (working directly with binary hdf5/netcdf databases) and workflow managing.It is mainly used by importing its modules in the user's own python scripts, while a number of command-line utility options are also offered. Refer to the Release Notes (https://github.com/yambo-code/yambopy/releases/tag/v0.7.1) and the Yambo wiki (https://wiki.yambo-code.eu/wiki/index.php/First_steps_in_Yambopy) for functionalities and tutorials.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
