| Name | Version | Summary | date |
| nannos |
2.6.2 |
Fourier Modal Method for multilayer metamaterials |
2024-03-13 16:23:32 |
| ncempy |
1.11.1 |
openNCEM's Python Package |
2024-03-02 23:11:22 |
| nxs-analysis-tools |
0.0.32 |
Reduce and transform nexus format (.nxs) scattering data. |
2024-02-26 20:55:56 |
| pyTEMlib |
0.2024.2.1 |
pyTEM: TEM Data Quantification library through a model-based approach |
2024-02-24 23:33:16 |
| drpangloss |
0.0.1 |
Python package to fit interferometric data, accelerated using Jax. |
2024-02-23 05:43:15 |
| pyxem |
0.17.0 |
multi-dimensional diffraction microscopy |
2024-01-22 14:45:23 |
| phaseshifts |
0.1.8 |
Python-based version of the Barbieri/Van Hove phase shift calculation package for LEED/XPD modelling |
2024-01-21 11:20:48 |
| hklpy |
1.1.0 |
Controls for using diffractometers within the Bluesky Framework. |
2024-01-13 20:53:29 |
| musclex |
1.23.1 |
Muscle X |
2024-01-09 17:38:07 |
| openphoton |
0.1.7 |
A scalar diffraction simulation package |
2023-12-13 02:14:14 |
| gyptis |
1.0.2 |
Computational Photonics in Python |
2023-11-29 18:09:58 |
| diffractio |
0.2.4 |
Optical Diffraction and Interference (scalar and vectorial) |
2023-11-22 20:38:12 |
| cryspy |
0.7.6 |
PNPD data analysis |
2023-11-17 16:32:52 |
| pyemaps |
1.0.8 |
|
2023-11-07 16:49:29 |
| emaps |
1.0.0 |
|
2023-11-07 15:22:04 |
| dLux |
0.14.0 |
Differentiable Optical Models as Parameterised Neural Networks in Jax using Zodiax. |
2023-10-04 04:01:31 |
| Dans-Diffraction |
3.0.0 |
Generate diffracted intensities from crystals |
2023-07-02 16:48:13 |
| iris-ued |
5.3.5 |
Ultrafast electron diffraction data exploration |
2023-05-25 10:53:30 |
| bcdi |
0.3.1 |
BCDI: tools for pre(post)-processing Bragg and |
2023-03-18 20:22:09 |
| fringe |
1.0.6 |
Python implementation of computational optical propagation and digital holography. |
2023-03-16 13:20:32 |