Bluesky — An Experiment Specification & Orchestration Engine
| Source | pip install bluesky |
| Documentation |
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
- Experiment Generality: Seamlessly reuse a procedure on completely
- Interruption Recovery: Experiments are "rewindable," recovering cleanly
- Automated Suspend/Resume: Experiments can be run unattended,
- Pluggable I/O: Export data (live) into any desired format or database.
- Customizability: Integrate custom experimental procedures and commands,
- Integration with Scientific Python: Interface naturally with numpy and
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.