Bluesky — An Experiment Specification & Orchestration Engine
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.