FFTW

Julia bindings to the FFTW library for fast Fourier transforms

https://github.com/juliamath/fftw.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
    9 of 62 committers (14.5%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.3%) to scientific vocabulary

Keywords

bindings fft fftw julia math mkl

Keywords from Contributors

tabular-data dataframes data-frame mixed-models automatic-differentiation partial-differential-equations graphics statistical-models mixed-effects nonlinear-programming
Last synced: 4 months ago · JSON representation ·

Repository

Julia bindings to the FFTW library for fast Fourier transforms

Basic Info
Statistics
  • Stars: 292
  • Watchers: 25
  • Forks: 54
  • Open Issues: 63
  • Releases: 40
Topics
bindings fft fftw julia math mkl
Created over 8 years ago · Last pushed 5 months ago
Metadata Files
Readme License Citation

README.md

FFTW.jl

CI Coveralls

This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia.

Usage and documentation

julia ]add FFTW using FFTW fft([0; 1; 2; 1]) returns 4-element Array{Complex{Float64},1}: 4.0 + 0.0im -2.0 + 0.0im 0.0 + 0.0im -2.0 + 0.0im

The documentation of generic FFT functionality can be found in the AbstractFFTs.jl package. Additional functionalities supported by the FFTW library are documented in the present package.

MKL

Alternatively, the FFTs in Intel's Math Kernel Library (MKL) can be used by running FFTW.set_provider!("mkl"). MKL will be provided through MKL_jll. This change of provider is persistent and has to be done only once, i.e., the package will use MKL when building and updating. Note however that MKL provides only a subset of the functionality provided by FFTW. See Intel's documentation for more information about potential differences or gaps in functionality. In case MKL does not fit the needs (anymore), FFTW.set_provider!("fftw") allows to revert the change of provider.

License

The FFTW library will be downloaded on versions of Julia where it is no longer distributed as part of Julia. Note that FFTW is licensed under GPLv2 or higher (see its license file), but the bindings to the library in this package, FFTW.jl, are licensed under MIT. This means that code using the FFTW library via the FFTW.jl bindings is subject to FFTW's licensing terms. Code using alternative implementations of the FFTW API, such as MKL's FFTW3 interface are instead subject to the alternative's license. If you distribute a derived or combined work, i.e. a program that links to and is distributed with the FFTW library, then that distribution falls under the terms of the GPL. If you just distribute source code that links to FFTW.jl, and users have to download FFTW or MKL to provide the backend, then the GPL probably doesn't have much effect on you.

Owner

  • Name: Julia Math
  • Login: JuliaMath
  • Kind: organization

Mathematics made easy in Julia

Citation (CITATION.bib)

% If you wish to cite FFTW in a general publication, we recommend this paper:
@Article{FFTW.jl-2005,
  author   =  {Frigo, Matteo and Johnson, Steven~G.},
  title    =  {The Design and Implementation of {FFTW3}},
  journal  =  {Proceedings of the IEEE},
  year     =  2005,
  volume   =  93,
  number   =  2,
  pages    =  {216--231},
  note     =  {Special issue on ``Program Generation, Optimization, and Platform Adaptation''},
  doi      =  {10.1109/JPROC.2004.840301}
}

GitHub Events

Total
  • Create event: 8
  • Commit comment event: 1
  • Release event: 1
  • Issues event: 5
  • Watch event: 16
  • Delete event: 4
  • Issue comment event: 41
  • Push event: 26
  • Pull request review event: 16
  • Pull request review comment event: 16
  • Pull request event: 11
  • Fork event: 2
Last Year
  • Create event: 8
  • Commit comment event: 1
  • Release event: 1
  • Issues event: 5
  • Watch event: 16
  • Delete event: 4
  • Issue comment event: 41
  • Push event: 26
  • Pull request review event: 16
  • Pull request review comment event: 16
  • Pull request event: 11
  • Fork event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 292
  • Total Committers: 62
  • Avg Commits per committer: 4.71
  • Development Distribution Score (DDS): 0.86
Past Year
  • Commits: 11
  • Committers: 5
  • Avg Commits per committer: 2.2
  • Development Distribution Score (DDS): 0.364
Top Committers
Name Email Commits
Jeff Bezanson j****n@g****m 41
Alex Arslan a****n@c****t 37
Steven G. Johnson s****j@m****u 30
Tony Kelman t****y@k****t 25
Mosè Giordano g****o@u****m 11
Mus M m****m@o****m 11
Tim Holy t****y@g****m 11
Elliot Saba s****t@g****m 10
Yichao Yu y****2@g****m 9
Jishnu Bhattacharya j****b@g****m 7
Stefan Karpinski s****n@k****g 7
Simon Kornblith s****n@s****m 5
Steven G. Johnson s****j@a****u 5
Viral B. Shah v****l@m****g 5
Kristoffer Carlsson k****l@s****e 4
Michael Hatherly m****y@g****m 4
Patrick Kofod Mogensen p****n@g****m 4
Martin Holters m****s@h****e 4
Andy Hayden a****1@g****m 3
Ian Butterworth i****h@g****m 3
Pablo Zubieta p****z@y****x 3
nkottary k****4@g****m 3
Mosè Giordano m****e@g****g 3
github-actions[bot] 4****]@u****m 2
Jeff Bezanson b****n@p****u 2
Milan Bouchet-Valat n****n@c****r 2
femtocleaner[bot] f****]@u****m 2
JKrehl J****l@u****m 2
Jake Bolewski j****i@g****m 2
Jameson Nash v****h@g****m 2
and 32 more...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 74
  • Total pull requests: 93
  • Average time to close issues: 4 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 56
  • Total pull request authors: 35
  • Average comments per issue: 3.69
  • Average comments per pull request: 2.32
  • Merged pull requests: 73
  • Bot issues: 0
  • Bot pull requests: 14
Past Year
  • Issues: 3
  • Pull requests: 15
  • Average time to close issues: 3 days
  • Average time to close pull requests: about 1 month
  • Issue authors: 3
  • Pull request authors: 8
  • Average comments per issue: 1.33
  • Average comments per pull request: 1.33
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 3
Top Authors
Issue Authors
  • AshtonSBradley (6)
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  • fgerick (1)
  • EthanAnderes (1)
  • piever (1)
  • JakeZw (1)
Pull Request Authors
  • dependabot[bot] (13)
  • jishnub (13)
  • stevengj (5)
  • giordano (5)
  • KristofferC (5)
  • dlfivefifty (5)
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  • ViralBShah (4)
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  • staticfloat (3)
  • N5N3 (3)
  • heitorPB (2)
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Top Labels
Issue Labels
enhancement (1)
Pull Request Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • julia 11,420 total
  • Total dependent packages: 321
  • Total dependent repositories: 110
  • Total versions: 36
juliahub.com: FFTW

Julia bindings to the FFTW library for fast Fourier transforms

  • Versions: 36
  • Dependent Packages: 321
  • Dependent Repositories: 110
  • Downloads: 11,420 Total
Rankings
Dependent packages count: 0.2%
Dependent repos count: 0.4%
Average: 1.7%
Forks count: 2.8%
Stargazers count: 3.6%
Last synced: 5 months ago

Dependencies

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