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resampy

resampy: efficient sample rate conversion in Python - Published in JOSS (2016)

https://github.com/bmcfee/resampy

Science Score: 95.0%

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
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    1 of 10 committers (10.0%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

audio dsp nyucds python
Last synced: 4 months ago · JSON representation

Repository

Efficient sample rate conversion in python

Basic Info
Statistics
  • Stars: 272
  • Watchers: 10
  • Forks: 36
  • Open Issues: 3
  • Releases: 22
Topics
audio dsp nyucds python
Created over 9 years ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License

README.md

resampy

GitHub license PyPI Anaconda-Server Badge CI codecov Documentation Status DOI

Efficient sample rate conversion in Python.

This package implements the band-limited sinc interpolation method for sampling rate conversion as described by:

Smith, Julius O. Digital Audio Resampling Home Page Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, 2015-02-23. Web published at http://ccrma.stanford.edu/~jos/resample/.

Installation

resampy can be installed pip by the following command: python -m pip install resampy

It can also be installed by conda as follows: conda install -c conda-forge resampy

Owner

  • Name: Brian McFee
  • Login: bmcfee
  • Kind: user
  • Location: New York, NY
  • Company: New York University

Assistant Professor of Music Technology and Data Science

JOSS Publication

resampy: efficient sample rate conversion in Python
Published
December 05, 2016
DOI
Volume 1, Issue 8, Page 125
Authors
Brian McFee ORCID
New York University
Editor
Arfon Smith ORCID
Tags
digital signal processing sample rate conversion
View PDF Review Thread Software Archive

GitHub Events

Total
  • Watch event: 17
  • Issue comment event: 1
  • Fork event: 3
Last Year
  • Watch event: 17
  • Issue comment event: 1
  • Fork event: 3

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 236
  • Total Committers: 10
  • Avg Commits per committer: 23.6
  • Development Distribution Score (DDS): 0.174
Past Year
  • Commits: 4
  • Committers: 1
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Brian McFee b****e@n****u 195
Antonio Valentino a****o@t****t 26
Antonio Valentino A****o@e****t 6
Stanislav Kruchinin 2****n 3
endolith e****h@g****m 1
chris m****l@c****m 1
Waldir Pimenta w****s@g****m 1
Nils Werner n****r@a****e 1
Egor Karpov k****a@g****m 1
Alexandre Detiste a****e@g****m 1
Committer Domains (Top 20 + Academic)
audiolabs-erlangen.de: 1 chohner.com: 1 ext.esa.int: 1 tiscali.it: 1 nyu.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 61
  • Total pull requests: 46
  • Average time to close issues: 8 months
  • Average time to close pull requests: 5 days
  • Total issue authors: 41
  • Total pull request authors: 8
  • Average comments per issue: 4.23
  • Average comments per pull request: 1.98
  • Merged pull requests: 46
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: 17 days
  • Average time to close pull requests: 14 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • bmcfee (17)
  • arokem (5)
  • xkortex (1)
  • Krejdom (1)
  • bluenote10 (1)
  • mmcauliffe (1)
  • Woodstock94 (1)
  • sgugger (1)
  • bolau (1)
  • saibharani (1)
  • josephernest (1)
  • hendriks73 (1)
  • mutiann (1)
  • cyberso (1)
  • DomagojHack (1)
Pull Request Authors
  • bmcfee (35)
  • avalentino (8)
  • a-detiste (2)
  • endolith (1)
  • waldyrious (1)
  • karpp (1)
  • polariton (1)
  • chohner (1)
Top Labels
Issue Labels
packaging (13) question (12) documentation (10) bug (9) functionality (8) testing (1) duplicate (1)
Pull Request Labels
packaging (14) documentation (10) bug (10) functionality (10) testing (8)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 1,470,571 last-month
  • Total docker downloads: 820,544
  • Total dependent packages: 79
    (may contain duplicates)
  • Total dependent repositories: 3,143
    (may contain duplicates)
  • Total versions: 35
  • Total maintainers: 2
pypi.org: resampy

Efficient signal resampling

  • Versions: 24
  • Dependent Packages: 74
  • Dependent Repositories: 3,118
  • Downloads: 1,470,571 Last month
  • Docker Downloads: 820,544
Rankings
Dependent repos count: 0.2%
Dependent packages count: 0.2%
Downloads: 0.3%
Docker downloads count: 0.9%
Average: 2.2%
Stargazers count: 4.4%
Forks count: 7.1%
Maintainers (1)
Brian.McFee
Last synced: 4 months ago
spack.io: py-resampy

Efficient sample rate conversion in python

  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Dependent repos count: 0.0%
Stargazers count: 13.7%
Average: 14.7%
Forks count: 16.9%
Dependent packages count: 28.1%
Maintainers (1)
adamjstewart
Last synced: 4 months ago
conda-forge.org: resampy
  • Versions: 10
  • Dependent Packages: 4
  • Dependent Repositories: 25
Rankings
Dependent repos count: 7.3%
Dependent packages count: 12.5%
Average: 18.9%
Stargazers count: 25.1%
Forks count: 30.7%
Last synced: 4 months ago

Dependencies

docs/requirements.txt pypi
  • numpydoc >=0.5
.github/workflows/ci-minimal.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/lint_python.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/publish.yml actions
  • actions/checkout master composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
pyproject.toml pypi
setup.py pypi