Projects: pypi: bluesky
https://packages.ecosyste.ms/registries/pypi.org/packages/bluesky
Experiment specification & orchestration.
48 versions
Latest release: about 3 years ago
30 dependent packages
9,415 downloads last month
Enhanced Analysis
Educational Contributors:
abigail.emery@diamond.ac.uk
callum.forrester@diamond.ac.uk
tom.cobb@diamond.ac.uk
rose.yemelyanova@diamond.ac.uk
noemi.frisina@diamond.ac.uk
zlentz@slac.stanford.edu
kz2249@columbia.edu
david.perl@diamond.ac.uk
ctitus@stanford.edu
trendahl@slac.stanford.edu
tom.willemsen@stfc.ac.uk
robert.tuck@diamond.ac.uk
zoheb.shaikh@diamond.ac.uk
dominic.oram@diamond.ac.uk
james.souter@diamond.ac.uk
paul.coe@diamond.ac.uk
root@diamtl12.diamond.ac.uk
giles.knap@diamond.ac.uk
gary.yendell@diamond.ac.uk
alex.wells@diamond.ac.uk
oliver.silvester@diamond.ac.uk
joseph.ware@diamond.ac.uk
subin.saji@diamond.ac.uk
slepicka@slac.stanford.edu
root@diamtl24.diamond.ac.uk
victor.rogalev@diamond.ac.uk
Repository Activity:
Repository Owner:
Bluesky Collaboration (organization)
scientific data acquisition, management, and analysis Academic
scientific data acquisition, management, and analysis Academic
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+520
Educational commit emails
26 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers
Very Likely Science (100)
Papers Mentioning bluesky 1
10.1038/s41598-020-74394-1
Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernelsCited by: 35
Author(s): Marcus M. Noack, Gregory S. Doerk, Ruipeng Li, Jason K. Streit, Richard A. Vaia, Kevin G. Yager, Masafumi Fukuto
Software Mentions: 1
Published: over 5 years ago