Data

Tools

Indexes

Applications

Experiments

Open Source Science

bluesky

experiment orchestration and data acquisition

https://github.com/bluesky/bluesky

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    47 of 81 committers (58.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary

Keywords

bluesky dataacquisition python

Keywords from Contributors

gtk qt tk wx closember
Last synced: 6 months ago · JSON representation

Repository

experiment orchestration and data acquisition

Basic Info
Statistics
  • Stars: 210
  • Watchers: 26
  • Forks: 107
  • Open Issues: 267
  • Releases: 36
Topics
bluesky dataacquisition python
Created over 10 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License

README.md

CI Coverage PyPI

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.

Owner

  • Name: Bluesky Collaboration
  • Login: bluesky
  • Kind: organization

scientific data acquisition, management, and analysis

GitHub Events

Total
  • Create event: 18
  • Release event: 7
  • Issues event: 68
  • Watch event: 61
  • Delete event: 12
  • Issue comment event: 306
  • Push event: 172
  • Pull request review event: 222
  • Pull request review comment event: 171
  • Pull request event: 115
  • Fork event: 14
Last Year
  • Create event: 18
  • Release event: 7
  • Issues event: 68
  • Watch event: 61
  • Delete event: 12
  • Issue comment event: 306
  • Push event: 172
  • Pull request review event: 222
  • Pull request review comment event: 171
  • Pull request event: 115
  • Fork event: 14

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 4,394
  • Total Committers: 81
  • Avg Commits per committer: 54.247
  • Development Distribution Score (DDS): 0.609
Past Year
  • Commits: 334
  • Committers: 23
  • Avg Commits per committer: 14.522
  • Development Distribution Score (DDS): 0.536
Top Committers
Name Email Commits
danielballan d****n@g****m 1,719
Thomas A Caswell t****l@b****v 1,002
Eugene M y****h@b****v 236
Eric Dill e****l@b****v 207
Dmitri Gavrilov g****s@g****m 130
Joshua Lynch j****h@b****v 92
Maksim Rakitin m****n@b****v 77
Eva Lott e****0@g****m 58
K Lauer k****r@b****v 55
christopher c****2@g****m 50
Julien R M Lhermitte j****e@b****v 48
Abigail Emery a****y@d****k 46
Pete Jemian p****n@g****m 41
Blaise Thompson b****e@u****m 35
Callum Forrester c****r@d****k 32
thomashopkins32 t****1@b****v 30
Jakub Wlodek j****k@b****v 30
Tom Cobb t****b@d****k 30
Stuart Campbell s****l@b****v 29
Rose Yemelyanova r****a@d****k 28
Noemi Frisina n****a@d****k 27
Zachary Lentz z****z@s****u 27
ke-zhang-rd k****9@c****u 24
awalter-bnl a****r@b****v 23
Kyle Sunden g****t@k****e 21
David Perl d****l@d****k 21
Shekar V v****1@b****v 20
ke-zhang-rd k****g@b****v 17
maffettone p****e@g****m 15
Jamie Titus c****s@s****u 14
and 51 more...
Committer Domains (Top 20 + Academic)
bnl.gov: 21 diamond.ac.uk: 18 slac.stanford.edu: 3 ansto.gov.au: 2 diamtl24.diamond.ac.uk: 1 lightsource.ca: 1 lnls.br: 1 diamtl12.diamond.ac.uk: 1 stfc.ac.uk: 1 stanford.edu: 1 ksunden.space: 1 columbia.edu: 1 untzag.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 254
  • Total pull requests: 321
  • Average time to close issues: 9 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 61
  • Total pull request authors: 62
  • Average comments per issue: 3.46
  • Average comments per pull request: 2.74
  • Merged pull requests: 203
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 47
  • Pull requests: 120
  • Average time to close issues: 28 days
  • Average time to close pull requests: 14 days
  • Issue authors: 27
  • Pull request authors: 29
  • Average comments per issue: 2.26
  • Average comments per pull request: 1.78
  • Merged pull requests: 82
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • danielballan (39)
  • stan-dot (26)
  • coretl (25)
  • ambarb (20)
  • prjemian (18)
  • tacaswell (18)
  • callumforrester (11)
  • rosesyrett (10)
  • DominicOram (9)
  • DiamondJoseph (7)
  • evalott100 (6)
  • cjtitus (4)
  • jacopoabramo (4)
  • dperl-dls (4)
  • mrakitin (4)
Pull Request Authors
  • tacaswell (71)
  • genematx (26)
  • danielballan (26)
  • jwlodek (20)
  • stan-dot (18)
  • evalott100 (17)
  • maffettone (17)
  • coretl (17)
  • callumforrester (15)
  • Tom-Willemsen (12)
  • rerpha (10)
  • prjemian (9)
  • dmgav (9)
  • untzag (9)
  • mrakitin (9)
Top Labels
Issue Labels
hackathon (44) bug (41) good first issue (29) user IO (27) documentation (24) maintenance (17) enhancement (16) python (13) design-discussion (13) low-priority (12) plotting (10) callbacks (9) high-priority (6) dependencies (5) question (4) scan-spec (3) wontfix (3) shiny (3) needs review (3) task (2) additional coroutines (2) metadata (2) suspenders (1) github_actions (1) duplicate (1)
Pull Request Labels
python (11) enhancement (10) high-priority (9) bug (8) dependencies (8) documentation (7) maintenance (7) low-priority (4) callbacks (4) github_actions (4) in progress (3) needs revision (3) good first issue (2) additional coroutines (2) metadata (2) hackathon (1)

Packages

  • Total packages: 4
  • Total downloads:
    • pypi 47,163 last-month
  • Total docker downloads: 83
  • Total dependent packages: 58
    (may contain duplicates)
  • Total dependent repositories: 89
    (may contain duplicates)
  • Total versions: 161
  • Total maintainers: 6
pypi.org: bluesky

Experiment specification & orchestration.

  • Documentation: https://bluesky.readthedocs.io/
  • License: BSD 3-Clause License Copyright (c) 2015, Brookhaven National Laboratory All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 1.14.3
    published 6 months ago
  • Versions: 60
  • Dependent Packages: 35
  • Dependent Repositories: 87
  • Downloads: 47,163 Last month
  • Docker Downloads: 83
Rankings
Dependent packages count: 0.4%
Dependent repos count: 1.6%
Docker downloads count: 1.8%
Downloads: 2.8%
Average: 3.0%
Forks count: 5.0%
Stargazers count: 6.2%
Maintainers (6)
danielballan mrakitin jklynch stuartcampbell Thomas.Caswell coretl
Last synced: 6 months ago
proxy.golang.org: github.com/bluesky/bluesky
  • Versions: 70
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.5%
Dependent repos count: 5.7%
Last synced: 6 months ago
conda-forge.org: bluesky

A Python data collection interface for experimental science

  • Versions: 27
  • Dependent Packages: 22
  • Dependent Repositories: 2
Rankings
Dependent packages count: 3.0%
Average: 19.7%
Dependent repos count: 20.3%
Forks count: 21.9%
Stargazers count: 33.8%
Last synced: 6 months ago
conda-forge.org: bluesky-base

A Python data collection interface for experimental science

  • Versions: 4
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Forks count: 21.0%
Dependent packages count: 28.8%
Average: 28.8%
Stargazers count: 31.5%
Dependent repos count: 34.0%
Last synced: 6 months ago

Dependencies

.github/actions/install_requirements/action.yml actions
  • actions/setup-python v5 composite
.github/workflows/_check.yml actions
  • actions/github-script v7 composite
.github/workflows/_dist.yml actions
  • ./.github/actions/install_requirements * composite
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
.github/workflows/_docs.yml actions
  • ./.github/actions/install_requirements * composite
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • peaceiris/actions-gh-pages 373f7f263a76c20808c831209c920827a82a2847 composite
.github/workflows/_pypi.yml actions
  • actions/download-artifact v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/_release.yml actions
  • actions/download-artifact v4 composite
  • softprops/action-gh-release de2c0eb89ae2a093876385947365aca7b0e5f844 composite
.github/workflows/_test.yml actions
  • ./.github/actions/install_requirements * composite
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • codecov/codecov-action v4 composite
.github/workflows/_tox.yml actions
  • ./.github/actions/install_requirements * composite
  • actions/checkout v4 composite
.github/workflows/ci.yml actions
.github/workflows/periodic.yml actions
Dockerfile docker
  • python ${PYTHON_VERSION} build
pyproject.toml pypi
  • cycler *
  • dataclasses python_version<'3.7'
  • event-model >=1.19.8
  • historydict *
  • msgpack *
  • msgpack-numpy *
  • numpy *
  • super_state_machine *
  • toolz *
  • tqdm >=4.44
  • typing-extensions >=4.0.0;python_version<'3.11'
  • zict <3.0.0