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https://github.com/IntelPython/mkl_fft

fft mkl numpy

Score: 24.785645893827336

Last synced: 1 day ago
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Repository metadata:

NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions


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Committers metadata

Last synced: 2 days ago

Total Commits: 601
Total Committers: 23
Avg Commits per committer: 26.13
Development Distribution Score (DDS): 0.73

Commits in past year: 303
Committers in past year: 11
Avg Commits per committer in past year: 27.545
Development Distribution Score (DDS) in past year: 0.746

Name Email Commits
Oleksandr Pavlyk o****k@i****m 162
dependabot[bot] 4****] 113
Nikita Grigorian n****n@i****m 99
Anton Volkov a****y@g****m 54
Vahid Tavanashad 1****a 47
Vladislav Perevezentsev v****v@i****m 38
Harlow, Jordan j****w@i****m 28
vchamarthi v****i@i****m 18
Evseniia 7****a 11
chillenb c****5@g****m 8
Python Infra CI p****i@i****m 4
Scherbakov, Denis d****v@i****m 4
cako c****f@g****m 3
xaleryb x****b 3
Brian Connelly b****y 1
Michael Duersch 8****d 1
Mike Sarahan m****n@g****m 1
Nikolay Petrov n****v@i****m 1
Peter Bell p****0@l****k 1
Smirnov v****v@i****m 1
StepSecurity Bot b****t@s****o 1
sat bot s****t@i****m 1
tomashek t****k@i****m 1

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 74
Total pull requests: 318
Average time to close issues: over 1 year
Average time to close pull requests: 4 days
Total issue authors: 52
Total pull request authors: 20
Average comments per issue: 2.2
Average comments per pull request: 0.36
Merged pull request: 261
Bot issues: 0
Bot pull requests: 82

Past year issues: 3
Past year pull requests: 78
Past year average time to close issues: 3 months
Past year average time to close pull requests: 6 days
Past year issue authors: 3
Past year pull request authors: 8
Past year average comments per issue: 1.33
Past year average comments per pull request: 0.77
Past year merged pull request: 72
Past year bot issues: 0
Past year bot pull requests: 36

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/IntelPython/mkl_fft

Top Issue Authors

  • vtavana (12)
  • oleksandr-pavlyk (3)
  • JesseLivezey (3)
  • brandondube (2)
  • debasissil-python (2)
  • ysarri (2)
  • jankrecke (2)
  • peterbell10 (2)
  • RemiLehe (2)
  • rth (2)
  • densmirn (1)
  • entelecheia1963 (1)
  • gajrajgchouhan (1)
  • Jeitan (1)
  • idahogray (1)

Top Pull Request Authors

  • vtavana (94)
  • dependabot[bot] (79)
  • oleksandr-pavlyk (66)
  • ndgrigorian (20)
  • antonwolfy (12)
  • jharlow-intel (11)
  • ekomarova (7)
  • vlad-perevezentsev (7)
  • intel-python-devops (4)
  • vchamarthi (4)
  • github-actions[bot] (3)
  • step-security-bot (2)
  • bombaci-vsc (2)
  • msarahan (1)
  • DenisScherbakov (1)

Top Issue Labels

  • jira (5)
  • question (4)
  • enhancement (1)
  • bug (1)

Top Pull Request Labels

  • dependencies (64)
  • github_actions (55)
  • autoupdate (18)
  • enhancement (3)

Package metadata

pypi.org: mkl-fft

MKL-based FFT transforms for NumPy arrays

  • Homepage: http://github.com/IntelPython/mkl_fft
  • Documentation: https://mkl-fft.readthedocs.io/
  • Licenses: BSD-3-Clause
  • Latest release: 2.4.0 (published 5 days ago)
  • Last Synced: 2026-10-31T16:02:52.749Z (2 days ago)
  • Versions: 19
  • Dependent Packages: 21
  • Dependent Repositories: 10,209
  • Downloads: 15,558 Last month
  • Docker Downloads: 23,964,411
  • Rankings:
    • Dependent repos count: 0.086%
    • Docker downloads count: 0.547%
    • Dependent packages count: 0.617%
    • Downloads: 1.571%
    • Average: 3.483%
    • Stargazers count: 8.958%
    • Forks count: 9.116%
  • Maintainers (2)
proxy.golang.org: github.com/IntelPython/mkl_fft

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/IntelPython/mkl_fft#section-documentation
  • Licenses: bsd-3-clause
  • Latest release: v2.0.0+incompatible (published over 1 year ago)
  • Last Synced: 2026-10-31T16:02:54.797Z (2 days ago)
  • Versions: 36
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.337%
    • Average: 4.483%
    • Dependent repos count: 4.629%
proxy.golang.org: github.com/intelpython/mkl_fft

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/intelpython/mkl_fft#section-documentation
  • Licenses: bsd-3-clause
  • Latest release: v2.0.0+incompatible (published over 1 year ago)
  • Last Synced: 2026-10-31T16:02:56.256Z (2 days ago)
  • Versions: 36
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.384%
    • Average: 4.532%
    • Dependent repos count: 4.679%
conda-forge.org: mkl_fft

Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.

  • Homepage: http://github.com/IntelPython/mkl_fft
  • Licenses: BSD-3-Clause
  • Latest release: 1.3.1 (published over 4 years ago)
  • Last Synced: 2026-09-20T19:28:21.657Z (about 1 month ago)
  • Versions: 18
  • Dependent Packages: 6
  • Dependent Repositories: 1,717
  • Rankings:
    • Dependent repos count: 0.334%
    • Dependent packages count: 9.032%
    • Average: 21.991%
    • Stargazers count: 39.124%
    • Forks count: 39.473%
anaconda.org: mkl_fft

NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.

  • Homepage: https://github.com/IntelPython/mkl_fft
  • Licenses: BSD-3-Clause
  • Latest release: 2.2.0 (published 6 months ago)
  • Last Synced: 2026-04-27T16:05:00.801Z (6 months ago)
  • Versions: 19
  • Dependent Packages: 2
  • Dependent Repositories: 1,717
  • Downloads: 4,078,990 Total
  • Rankings:
    • Dependent repos count: 2.024%
    • Dependent packages count: 20.447%
    • Average: 29.704%
    • Stargazers count: 47.055%
    • Forks count: 49.29%

Dependencies

setup.py pypi
  • numpy *
.github/workflows/conda-package.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/upload-artifact v2 composite