Welcome to pycnet-audio!
pycnet-audio is a Python package which provides a command-line
interface and a useful Python API for processing audio data using
PNW-Cnet, a deep learning model developed for bioacoustics research.
Installation
pycnet-audio is available from the
Python Package Index and can be
installed using pip. However, you will first need to install a compatible
version of Python (currently versions 3.8 through 3.11), as well as SoX.
For ease of use, we recommend setting up a dedicated Conda environment for
running pycnet-audio. We find it is easiest to do so using Miniconda.
Install Miniconda, then open the Anaconda Prompt program and run the following command:
conda create -n pycnet -c conda-forge sox python=3.11
This will create a new conda environment called pycnet with Python version
3.11 and will install the required sox package from the
conda-forge repository.
Next, activate your environment...
conda activate pycnet
Finally, install the package from PyPI:
pip install pycnet-audio
This will install the package and its dependencies.
Documentation
Full documentation for this package is hosted by Read The Docs and is available here.
Issues
Please open an issue on the issue tracker.
Contact
Please direct questions and comments to Zack (zjruff at gmail dot com).
1 maintainer
Metadata
1 maintainer
Release files for pycnet-audio 0.5.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycnet_audio-0.5.11.tar.gz | 60.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pycnet_audio-0.5.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 119.9 MB
Release files / pycnet_audio-0.5.11.tar.gz
| Download URL | pycnet_audio-0.5.11.tar.gz |
|---|---|
| Size | 60.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f1efcd55b173a1e0a0be658ccbad974d48862f02762705bb2de86897aea76881
|
|
BLAKE2b-256 checksum How to use checksums |
afae6109d17278eb133535a6486700b91e22c78e822649775104ef592f9bb772
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 3, 2025.
Transparency logRelease files / pycnet_audio-0.5.11-py3-none-any.whl
| Download URL | pycnet_audio-0.5.11-py3-none-any.whl |
|---|---|
| Size | 59.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3a3a639d1c5e15be6c44bfcc5cf21af261e15d709e97872ecd97e888082d5bee
|
|
BLAKE2b-256 checksum How to use checksums |
e6d78f5373e1c4bd9b6648f64817f52fad0d6ecef766944450f8c16e82d4816e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 3, 2025.
Transparency log
