Controls for using diffractometers within the Bluesky Framework.
Project description
hklpy
Name | Downloads | Version | Platforms | PyPI |
---|---|---|---|---|
Controls for using diffractometers within the Bluesky Framework.
Based on the hkl C library (described here as libhkl), with
slightly cleaner abstractions when compared to the auto-generated
gobject-introspection
classes. Integrates with ophyd
pseudopositioners.
References
- hklpy documentation: https://blueskyproject.io/hklpy
- libhkl main repository: https://repo.or.cz/hkl.git
- (GitHub repo is a shadow copy rarely synchronized with the main repository.)
- Bluesky framework documentation: https://blueskyproject.io
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:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hklpy-1.1.1.tar.gz
(2.2 MB
view details)
Built Distribution
hklpy-1.1.1-py3-none-any.whl
(75.1 kB
view details)
File details
Details for the file hklpy-1.1.1.tar.gz
.
File metadata
- Download URL: hklpy-1.1.1.tar.gz
- Upload date:
- Size: 2.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 10e5c5631a68eccea77403b9dee6ed68e70b86bec1b5d035dbad0f24aacf11ba |
|
MD5 | e40e526d85b358dbc8211cd36d303c38 |
|
BLAKE2b-256 | 8e81e8302a27ca65cae42b0797f461f86912f0125a23cfc78c1ed7d3c61eeb7c |
File details
Details for the file hklpy-1.1.1-py3-none-any.whl
.
File metadata
- Download URL: hklpy-1.1.1-py3-none-any.whl
- Upload date:
- Size: 75.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 652ce0550d238aaa1e60cb74d6bfb789d021c4167972f907c88117a522b792c1 |
|
MD5 | f38b8c9ce50f376b23b5252893025787 |
|
BLAKE2b-256 | 09d0b8f30f6fa5ba4ee3f0a8637ecaa6dfceb93fd9a0da46cd890e1a80694e4e |