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Bluesky — An Experiment Specification & Orchestration Engine

Source https://github.com/bluesky/bluesky
PyPI pip install bluesky
Documentation https://bluesky.github.io/bluesky
Releases https://github.com/bluesky/bluesky/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.

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.

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