bluesky


Namebluesky JSON
Version 1.12.0 PyPI version JSON
download
home_pagehttps://github.com/bluesky/bluesky
SummaryExperiment specification & orchestration.
upload_time2023-11-06 17:02:24
maintainer
docs_urlNone
authordanielballan
requires_python>=3.8
licenseBSD (3-clause)
keywords
VCS
bugtrack_url
requirements cycler event-model historydict msgpack msgpack-numpy numpy super_state_machine toolz tqdm typing-extensions dataclasses zict
Travis-CI No Travis.
coveralls test coverage
            # Bluesky — An Experiment Specification & Orchestration Engine

[![Build Status](https://img.shields.io/github/actions/workflow/status/bluesky/bluesky/.github/workflows/testing.yml)](https://github.com/bluesky/bluesky/actions?query=workflow%3A%22Unit+Tests%22+branch%3Amaster)
[![PyPI](https://img.shields.io/pypi/v/bluesky)](https://pypi.org/project/bluesky/)
[![conda-forge](https://img.shields.io/conda/vn/conda-forge/bluesky?label=conda-forge%3Abluesky)](https://anaconda.org/conda-forge/bluesky)
[![conda-forge](https://img.shields.io/conda/vn/conda-forge/bluesky-base?label=conda-forge%3Abluesky-base)](https://anaconda.org/conda-forge/bluesky-base)

The Bluesky Python Package is an experiment specification and orchestration engine. 
- Specify the logic of an experiment in a high-level, hardware-abstracted way.
- First-class support for adaptive feedback between analysis and acquisition.
- Data is emitted in a streaming fashion in standard Python data structures.
- Pause/resume, robust error handling, and rich metadata capture are built in.

[**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).


            

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