https://github.com/bluesky/ophyd
hardware abstraction in Python with an emphasis on EPICS
https://github.com/bluesky/ophyd
control-systems epics python
Last synced: 5 months ago
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hardware abstraction in Python with an emphasis on EPICS
- Host: GitHub
- URL: https://github.com/bluesky/ophyd
- Owner: bluesky
- License: bsd-3-clause
- Created: 2014-11-05T19:20:01.000Z (almost 11 years ago)
- Default Branch: main
- Last Pushed: 2025-05-13T19:53:44.000Z (5 months ago)
- Last Synced: 2025-05-13T21:01:19.766Z (5 months ago)
- Topics: control-systems, epics, python
- Language: Python
- Homepage: https://blueskyproject.io/ophyd
- Size: 4.32 MB
- Stars: 58
- Watchers: 27
- Forks: 84
- Open Issues: 210
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
*****
Ophyd
*****
|build_status| |coverage| |pypi_version| |license|
Ophyd is a Python library for interfacing with hardware. It provides an
abstraction layer that enables experiment orchestration and data acquisition
code to operate above the specifics of particular devices and control systems.
Ophyd is typically used with the `Bluesky Run Engine`_ for experiment
orchestration and data acquisition. It is also sometimes used in a stand-alone
fashion.
Many facilities use ophyd to integrate with control systems that use `EPICS`_ ,
but ophyd's design and some of its objects are also used to integrate with
other control systems.
* Put the details specific to a device or control system behind a **high-level
interface** with methods like ``trigger()``, ``read()``, and ``set(...)``.
* **Group** individual control channels (such as EPICS V3 PVs) into logical
"Devices" to be configured and used as units with internal coordination.
* Assign readings with **names meaningful for data analysis** that will
propagate into metadata.
* **Categorize** readings by "kind" (primary reading, configuration,
engineering/debugging) which can be read selectively.
============== ==============================================================
PyPI ``pip install ophyd``
Conda ``conda install -c conda-forge ophyd``
Source code https://github.com/bluesky/ophyd
Documentation https://blueskyproject.io/ophyd
============== ==============================================================
See the tutorials for usage examples.
.. |build_status| image:: https://github.com/bluesky/ophyd/workflows/Unit%20Tests/badge.svg?branch=master
:target: https://github.com/bluesky/ophyd/actions?query=workflow%3A%22Unit+Tests%22
:alt: Build Status
.. |coverage| image:: https://codecov.io/gh/bluesky/ophyd/branch/master/graph/badge.svg
:target: https://codecov.io/gh/bluesky/ophyd
:alt: Test Coverage
.. |pypi_version| image:: https://img.shields.io/pypi/v/ophyd.svg
:target: https://pypi.org/project/ophyd
:alt: Latest PyPI version
.. |license| image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
:target: https://opensource.org/licenses/BSD-3-Clause
:alt: BSD 3-Clause License
.. _Bluesky Run Engine: http://blueskyproject.io/bluesky
.. _EPICS: http://www.aps.anl.gov/epics/
..
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See https://blueskyproject.io/ophyd for more detailed documentation.