sparse

Sparse multi-dimensional arrays for the PyData ecosystem

https://github.com/pydata/sparse

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
    1 of 59 committers (1.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary

Keywords

array-api numpy python sparse-arrays sparse-data sparse-matrices sparse-matrix

Keywords from Contributors

closember flexible alignment tensor qt autograd gtk tk wx distributed
Last synced: 6 months ago · JSON representation

Repository

Sparse multi-dimensional arrays for the PyData ecosystem

Basic Info
  • Host: GitHub
  • Owner: pydata
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage: https://sparse.pydata.org
  • Size: 2.02 MB
Statistics
  • Stars: 645
  • Watchers: 21
  • Forks: 131
  • Open Issues: 71
  • Releases: 2
Topics
array-api numpy python sparse-arrays sparse-data sparse-matrices sparse-matrix
Created almost 9 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing Funding License Code of conduct Roadmap

README.md

Sparse

Sparse Multidimensional Arrays

Build Status Docs Status Coverage

This library provides multi-dimensional sparse arrays.

Owner

  • Name: Python for Data
  • Login: pydata
  • Kind: organization

GitHub Events

Total
  • Create event: 55
  • Release event: 2
  • Issues event: 32
  • Watch event: 48
  • Delete event: 42
  • Issue comment event: 212
  • Push event: 137
  • Pull request review comment event: 82
  • Pull request review event: 149
  • Pull request event: 141
  • Fork event: 9
Last Year
  • Create event: 55
  • Release event: 2
  • Issues event: 32
  • Watch event: 48
  • Delete event: 42
  • Issue comment event: 212
  • Push event: 137
  • Pull request review comment event: 82
  • Pull request review event: 149
  • Pull request event: 141
  • Fork event: 9

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 627
  • Total Committers: 59
  • Avg Commits per committer: 10.627
  • Development Distribution Score (DDS): 0.584
Past Year
  • Commits: 144
  • Committers: 7
  • Avg Commits per committer: 20.571
  • Development Distribution Score (DDS): 0.729
Top Committers
Name Email Commits
Hameer Abbasi e****n@g****m 261
Mateusz Sokół 8****l 80
Matthew Rocklin m****n@g****m 65
pre-commit-ci[bot] 6****] 60
Dea María Léon d****n@g****m 30
Dale Tovar 3****r 14
Nils Werner n****r@g****m 12
Jim Crist j****t 11
Sayandip Halder s****4@g****m 6
Draga Doncila Pop 1****a 6
Pradyot Ranjan 9****t 5
James Webber j****r 5
Jake VanderPlas j****p@g****m 5
Eric Wieser w****c@g****m 5
Sam s****6@g****m 4
dependabot[bot] 4****] 3
lueckem 3****m 3
Dan Allan d****n@g****m 3
H4R5H1T-007 5****7 3
Liyu Gong g****u@g****m 2
Keisuke Fujii f****p@g****m 2
Scott Sievert s****t 2
crusaderky c****y@g****m 2
Adam Lugowski a****i@g****m 2
Petter Nilsson p****i@c****u 2
David Mertz d****z@c****o 1
Aaron Meurer a****r@g****m 1
Argenis Arriojas a****s@g****m 1
Ben Greiner c****e@b****e 1
Michael Delgado d****m 1
and 29 more...
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 137
  • Total pull requests: 503
  • Average time to close issues: 10 months
  • Average time to close pull requests: 26 days
  • Total issue authors: 73
  • Total pull request authors: 30
  • Average comments per issue: 3.52
  • Average comments per pull request: 2.26
  • Merged pull requests: 411
  • Bot issues: 1
  • Bot pull requests: 122
Past Year
  • Issues: 28
  • Pull requests: 177
  • Average time to close issues: 12 days
  • Average time to close pull requests: 3 days
  • Issue authors: 16
  • Pull request authors: 9
  • Average comments per issue: 1.57
  • Average comments per pull request: 1.72
  • Merged pull requests: 140
  • Bot issues: 1
  • Bot pull requests: 65
Top Authors
Issue Authors
  • hameerabbasi (29)
  • mtsokol (7)
  • crusaderky (6)
  • sayandip18 (5)
  • aulemahal (4)
  • DeaMariaLeon (3)
  • dcherian (3)
  • mayalinetsky-kryon (3)
  • mangecoeur (3)
  • wecassidy (2)
  • ilia-kats (2)
  • jamestwebber (2)
  • jrbourbeau (2)
  • H4R5H1T-007 (2)
  • JonathanWoollett-Light (2)
Pull Request Authors
  • mtsokol (139)
  • hameerabbasi (124)
  • pre-commit-ci[bot] (111)
  • DeaMariaLeon (51)
  • prady0t (21)
  • dependabot[bot] (10)
  • mangecoeur (7)
  • sayandip18 (7)
  • jamestwebber (5)
  • smldub (3)
  • jcapriot (2)
  • willow-ahrens (2)
  • jjerphan (2)
  • jwjeffr (2)
  • alugowski (2)
Top Labels
Issue Labels
type:bug (39) type:enhancement (34) bug (13) needs triage (13) type:support (11) enhancement (7) discussion (6) type:upstream (5) documentation (4) upstream (3) help wanted (2) type:performance (2) good first issue (1) type:docs (1) internal (1) need more info (1) Epic (1) skip changelog (1) maintenance (1)
Pull Request Labels
skip changelog (73) internal (39) enhancement (30) documentation (19) type:enhancement (18) maintenance (18) fix (10) dependencies (10) type:maintenance (7) type:bug (6) build (5) bug (5) tests (4) deprecation (1) type:docs (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 650,477 last-month
  • Total docker downloads: 21,421
  • Total dependent packages: 88
    (may contain duplicates)
  • Total dependent repositories: 201
    (may contain duplicates)
  • Total versions: 56
  • Total maintainers: 2
pypi.org: sparse

Sparse n-dimensional arrays for the PyData ecosystem

  • Documentation: https://sparse.pydata.org/
  • License: BSD 3-Clause License Copyright (c) 2018, Sparse developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * 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. * 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: 0.17.0
    published 9 months ago
  • Versions: 42
  • Dependent Packages: 72
  • Dependent Repositories: 153
  • Downloads: 650,477 Last month
  • Docker Downloads: 21,421
Rankings
Dependent packages count: 0.3%
Downloads: 0.7%
Dependent repos count: 1.2%
Docker downloads count: 1.8%
Average: 1.8%
Stargazers count: 2.8%
Forks count: 4.3%
Maintainers (2)
Last synced: 6 months ago
conda-forge.org: sparse

sparse implements sparse multidimensional arrays on top of Numpy and scipy.sparse. It tries to mimic Numpy's ndarray API.

  • Versions: 13
  • Dependent Packages: 16
  • Dependent Repositories: 48
Rankings
Dependent packages count: 4.0%
Dependent repos count: 5.2%
Average: 11.0%
Forks count: 17.4%
Stargazers count: 17.6%
Last synced: 6 months ago
anaconda.org: sparse

sparse implements sparse multidimensional arrays on top of Numpy and scipy.sparse. It tries to mimic Numpy's ndarray API.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 46.5%
Average: 48.8%
Dependent repos count: 51.1%
Last synced: 6 months ago

Dependencies

.github/workflows/ci.yml actions
  • EnricoMi/publish-unit-test-result-action/composite v1 composite
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/upload-artifact v1 composite
  • codecov/codecov-action v2 composite
  • conda-incubator/setup-miniconda v2 composite
ci/environment.yml conda
  • pip
requirements/docs.txt pypi
  • sphinx *
  • sphinx_rtd_theme *
requirements/tests.txt pypi
  • dask * test
  • pytest >=3.5 test
  • pytest-black * test
  • pytest-cov * test
requirements/tox.txt pypi
  • tox *
requirements.txt pypi
  • numba >=0.49
  • numpy >=1.17
  • scipy >=0.19