gilesknap/bluesky

experiment orchestration and data acquisition

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.