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ArrayInterface

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

https://github.com/juliaarrays/arrayinterface.jl

Science Score: 54.0%

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

  • ✓
    CITATION.cff file
    Found 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
    5 of 47 committers (10.6%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary

Keywords

arrays base composibility interface primitives scientific-machine-learning sciml

Keywords from Contributors

graphics julialang flux ode differential-equations the-human-brain julia-package bridge pdes optim
Last synced: 6 months ago · JSON representation ·

Repository

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Basic Info
Statistics
  • Stars: 137
  • Watchers: 12
  • Forks: 37
  • Open Issues: 35
  • Releases: 185
Topics
arrays base composibility interface primitives scientific-machine-learning sciml
Created over 7 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

ArrayInterface.jl

Stable CI Build status codecov

The AbstractArray interface in Base Julia is still relatively young. The purpose of this library is to solidify extensions to the current AbstractArray interface, which are put to use in package ecosystems like DifferentialEquations.jl. Since these libraries are live, this package will serve as a staging ground for ideas before they are merged into Base Julia. For this reason, no functionality is exported so that if such functions are added and exported in a future Base Julia, there will be no issues with the upgrade.

List of things to add

  • https://github.com/JuliaLang/julia/issues/22216
  • https://github.com/JuliaLang/julia/issues/22218
  • https://github.com/JuliaLang/julia/issues/22622
  • https://github.com/JuliaLang/julia/issues/25760
  • https://github.com/JuliaLang/julia/issues/25107

Array Types to Handle

The following common array types are being understood and tested as part of this development.

  • Array
  • Various versions of sparse arrays
  • SArray
  • MArray
  • FieldVector
  • ArrayPartition
  • VectorOfArray
  • DistributedArrays
  • GPUArrays (CLArrays and CuArrays)
  • AFArrays
  • MultiScaleArrays
  • LabelledArrays

StaticArrayInterface.jl

If one is looking for an interface which includes functionality for statically-computed values, see StaticArrayInterface.jl. This was separated from ArrayInterface.jl because it includes a lot of functionality that does not give substantive improvements to the interface, and is likely to be deprecated in the near future as the compiler matures to automate a lot of its optimizations.

Breaking Release Notes

7.0: Setup to use the new v1.9 package extensions. All static interface functions were moved to StaticArrayInterface.jl. All packages using one of the subpackages (ArrayInterfaceCore, ArrayInterfaceStaticArrays, etc.) should update to v7 by simply depending on ArrayInterface.jl, unless static interface functions were used in which case a dependency on StaticArrayInterface.jl is also necessary.

6.0: ArrayInterface.jl completely removed all usage of Requires.jl and conditional dependencies due to compile time impact. All of the Requires.jl support changed to subpackages within the repository which are registered in the General registry. These subpackages are required by any packages which seek to use the additional functionality.

2.0: Changed the default of ismutable(array::AbstractArray) = true. We previously defaulted to Base.@pure ismutable(array::AbstractArray) = typeof(array).mutable, but there are a lot of cases where this tends to not work out in a way one would expect. For example, if you put a normal array into an immutable struct that adds more information to it, this is considered immutable, even if all of the setindex! methods work (by forwarding to the mutable array). Thus, it seems safer to just always assume mutability is standard for an array, and allow arrays to opt-out.

Owner

  • Name: JuliaArrays
  • Login: JuliaArrays
  • Kind: organization

Custom array types (and utilities for building array types) for Julia

Citation (CITATION.bib) 

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Research Software},
 keywords = {Applied Mathematics},
 note = {Exported from https://app.dimensions.ai on 2019/05/05},
 number = {1},
 pages = {},
 title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
 url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
 volume = {5},
 year = {2017}
}

GitHub Events

Total
  • Create event: 11
  • Issues event: 4
  • Release event: 4
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 29
  • Push event: 39
  • Pull request review comment event: 1
  • Pull request review event: 3
  • Pull request event: 21
  • Fork event: 5
Last Year
  • Create event: 11
  • Issues event: 4
  • Release event: 4
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 29
  • Push event: 39
  • Pull request review comment event: 1
  • Pull request review event: 3
  • Pull request event: 21
  • Fork event: 5

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 886
  • Total Committers: 47
  • Avg Commits per committer: 18.851
  • Development Distribution Score (DDS): 0.669
Past Year
  • Commits: 100
  • Committers: 13
  • Avg Commits per committer: 7.692
  • Development Distribution Score (DDS): 0.44
Top Committers
Name Email Commits
Zachary P. Christensen z****7@g****m 293
Chris Elrod e****c@g****m 190
Chris Rackauckas a****s@c****m 167
Christopher Rackauckas C****t@C****m 112
Oscar Smith o****h@g****m 15
Yingbo Ma m****5@g****m 12
hlw h****n@i****m 10
Hendrik Ranocha m****l@r****e 9
dependabot[bot] 4****] 5
Dilum Aluthge d****m@a****m 5
Takafumi Arakaki a****f@g****m 5
Simeon Schaub s****9@g****m 4
MasonProtter m****r@i****m 4
Juan Ignacio Polanco j****c@g****m 4
TheZombie1999 n****m@h****e 3
Sheehan Olver s****r@m****m 3
Mason Protter p****r@u****a 3
github-actions[bot] 4****] 2
Tim Holy t****y@g****m 2
Nicholas G. Chisholm 2****m 2
oscarddssmith o****h@j****m 2
hyrodium h****m@g****m 2
Will Kimmerer k****r@m****u 2
Seth Axen s****h@s****m 2
N5N3 2****6@q****m 2
C. Brenhin Keller c****r@d****u 2
CompatHelper Julia c****y@j****g 2
KristofferC k****n@j****m 2
Loong Wang w****c@o****m 2
Anshul Singhvi a****7@s****u 1
and 17 more...
Committer Domains (Top 20 + Academic)
mit.edu: 2 juliacomputing.com: 2 chrisrackauckas.com: 2 posteo.de: 1 cdg.dev: 1 simons-rock.edu: 1 julialang.org: 1 dartmouth.edu: 1 qq.com: 1 sethaxen.com: 1 ualberta.ca: 1 mac.com: 1 hotmail.de: 1 aluthge.com: 1 ranocha.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 30
  • Total pull requests: 142
  • Average time to close issues: 11 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 20
  • Total pull request authors: 25
  • Average comments per issue: 23.67
  • Average comments per pull request: 1.85
  • Merged pull requests: 111
  • Bot issues: 0
  • Bot pull requests: 32
Past Year
  • Issues: 2
  • Pull requests: 13
  • Average time to close issues: 14 days
  • Average time to close pull requests: about 12 hours
  • Issue authors: 2
  • Pull request authors: 7
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.85
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 5
View more stats
Top Authors
Issue Authors
  • ChrisRackauckas (5)
  • Tokazama (4)
  • chriselrod (3)
  • avik-pal (3)
  • ctessum (1)
  • JuliaTagBot (1)
  • ronaldalbrt (1)
  • oscardssmith (1)
  • ederag (1)
  • blegat (1)
  • gaurav-arya (1)
  • thomvet (1)
  • jecs (1)
  • ranocha (1)
  • danielwe (1)
Pull Request Authors
  • ChrisRackauckas (36)
  • Tokazama (26)
  • github-actions[bot] (25)
  • dependabot[bot] (11)
  • oscardssmith (8)
  • avik-pal (6)
  • chriselrod (6)
  • ranocha (4)
  • wangl-cc (3)
  • TheZombie1999 (2)
  • jpthiele (2)
  • jecs (2)
  • homocomputeris (2)
  • DhairyaLGandhi (2)
  • blegat (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (11) github_actions (1)

Packages

  • Total packages: 10
  • Total downloads:
    • julia 16,609 total
  • Total dependent packages: 143
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 251
juliahub.com: ArrayInterface

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 186
  • Dependent Packages: 85
  • Dependent Repositories: 0
  • Downloads: 15,539 Total
Rankings
Dependent packages count: 0.9%
Forks count: 4.6%
Average: 5.3%
Stargazers count: 5.7%
Dependent repos count: 9.9%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceCore

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 30
  • Dependent Packages: 38
  • Dependent Repositories: 0
  • Downloads: 427 Total
Rankings
Dependent packages count: 1.8%
Forks count: 4.6%
Average: 5.5%
Stargazers count: 5.7%
Dependent repos count: 9.9%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceStaticArrays

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 6
  • Dependent Packages: 6
  • Dependent Repositories: 0
  • Downloads: 138 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Average: 7.1%
Dependent packages count: 8.4%
Dependent repos count: 9.9%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceGPUArrays

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 4
  • Dependent Packages: 4
  • Dependent Repositories: 0
  • Downloads: 137 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Average: 7.8%
Dependent repos count: 9.9%
Dependent packages count: 11.0%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceStaticArraysCore

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 5
  • Dependent Packages: 4
  • Dependent Repositories: 0
  • Downloads: 213 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Average: 7.8%
Dependent repos count: 9.9%
Dependent packages count: 11.0%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceTracker

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 2
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 14 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.6%
Average: 9.2%
Dependent repos count: 9.9%
Dependent packages count: 16.6%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceOffsetArrays

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 8
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 138 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Average: 9.2%
Dependent repos count: 9.9%
Dependent packages count: 16.6%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceBandedMatrices

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 3
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 2 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Average: 9.2%
Dependent repos count: 9.9%
Dependent packages count: 16.6%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceCUDA

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Forks count: 4.6%
Stargazers count: 5.6%
Dependent repos count: 9.9%
Average: 14.8%
Dependent packages count: 38.9%
Last synced: 6 months ago
juliahub.com: ArrayInterfaceBlockBandedMatrices

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1 Total
Rankings
Forks count: 4.6%
Stargazers count: 5.7%
Dependent repos count: 9.9%
Average: 14.8%
Dependent packages count: 38.9%
Last synced: 6 months ago

Dependencies

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.github/workflows/Invalidations.yml actions
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.github/workflows/TagBot.yml actions
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