https://github.com/bluesky/bluesky

experiment orchestration and data acquisition
https://github.com/bluesky/bluesky

bluesky dataacquisition python

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experiment orchestration and data acquisition

• Host: GitHub
• URL: https://github.com/bluesky/bluesky
• Owner: bluesky
• License: bsd-3-clause
• Created: 2015-06-02T18:50:18.000Z (over 9 years ago)
• Default Branch: main
• Last Pushed: 2024-10-29T16:36:42.000Z (3 months ago)
• Last Synced: 2024-10-29T17:11:51.838Z (3 months ago)
• Topics: bluesky, dataacquisition, python
• Language: Python
• Homepage: https://blueskyproject.io/bluesky/
• Size: 44.7 MB
• Stars: 159
• Watchers: 27
• Forks: 92
• Open Issues: 232
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

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README

        
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# Bluesky — An Experiment Specification & Orchestration Engine

|    Source     |           |

| :-----------: | :-------------------------------------------: |

|     PyPI      |             `pip install bluesky`             |

| Documentation |            |

|   Releases    |  |

Bluesky is a library for experiment control and collection of scientific data

and metadata. It emphasizes the following virtues:

* **Live, Streaming Data:** Available for inline visualization and processing.

* **Rich Metadata:** Captured and organized to facilitate reproducibility and

  searchability.

* **Experiment Generality:** Seamlessly reuse a procedure on completely

  different hardware.

* **Interruption Recovery:** Experiments are "rewindable," recovering cleanly

  from interruptions.

* **Automated Suspend/Resume:** Experiments can be run unattended,

  automatically suspending and resuming if needed.

* **Pluggable I/O:** Export data (live) into any desired format or database.

* **Customizability:** Integrate custom experimental procedures and commands,

  and get the I/O and interruption features for free.

* **Integration with Scientific Python:** Interface naturally with numpy and

  Python scientific stack.

[**Bluesky Documentation**](http://blueskyproject.io/bluesky).

The Bluesky Project enables experimental science at the lab-bench or facility scale. It is a collection of Python libraries that are co-developed but independently useful and may be adopted *a la carte*.

[**Bluesky Project Documentation**](http://blueskyproject.io).

See https://bluesky.github.io/bluesky for more detailed documentation.