https://github.com/bluesky/hklpy

Diffractometer computation library with ophyd pseudopositioner support
https://github.com/bluesky/hklpy

bluesky diffraction diffractometer hacktoberfest python

Last synced: 8 months ago
JSON representation

Diffractometer computation library with ophyd pseudopositioner support

• Host: GitHub
• URL: https://github.com/bluesky/hklpy
• Owner: bluesky
• License: bsd-3-clause
• Created: 2016-04-20T19:01:23.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2025-04-01T14:36:39.000Z (11 months ago)
• Last Synced: 2025-04-22T15:13:02.319Z (10 months ago)
• Topics: bluesky, diffraction, diffractometer, hacktoberfest, python
• Language: Python
• Homepage: https://blueskyproject.io/hklpy
• Size: 8.82 MB
• Stars: 4
• Watchers: 6
• Forks: 12
• Open Issues: 42
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
hklpy

=====

| Name | Downloads | Version | Platforms | PyPI |

| --- | --- | --- | --- | --- |

| [![Conda Package](https://img.shields.io/badge/package-hklpy-green.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Version](https://img.shields.io/conda/vn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![PyPi](https://img.shields.io/pypi/v/hklpy.svg)](https://pypi.python.org/pypi/hklpy) |

Controls for using diffractometers within the [Bluesky

Framework](https://blueskyproject.io).

Based on the *hkl*  C library (described here as [*libhkl*](https://people.debian.org/~picca/hkl/hkl.html#)), with

slightly cleaner abstractions when compared to the auto-generated

`gobject-introspection` classes. Integrates with ophyd

pseudopositioners.

## References

- hklpy documentation: 

- *libhkl* main repository: 

  - ([GitHub repo](https://github.com/picca/hkl) is a shadow copy rarely

    synchronized with the main repository.)

- Bluesky framework documentation: 

## Conda Recipes

Install the most recent build: `conda install hklpy -c conda-forge`

The recipes for *libhkl* (`hkl`) and `hklpy` are available in the following

conda-forge feedstocks:

- 

-