| 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.
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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent