
Security News
npm Adopts OIDC for Trusted Publishing in CI/CD Workflows
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
.. image:: https://img.shields.io/pypi/v/samplerate.svg :target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/l/samplerate.svg :target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/wheel/samplerate.svg :target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/pyversions/samplerate.svg :target: https://pypi.python.org/pypi/samplerate
.. image:: https://readthedocs.org/projects/python-samplerate/badge/?version=latest :target: http://python-samplerate.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
This is a wrapper around Erik de Castro Lopo's libsamplerate
_ (aka Secret
Rabbit Code) for high-quality sample rate conversion.
It implements all three APIs <http://www.mega-nerd.com/libsamplerate/api.html>
_ available in
libsamplerate
_:
The libsamplerate
_ library is statically built together with the python bindings
using pybind11 <https://github.com/pybind/pybind11/>
_.
$ pip install samplerate
Binary wheels of libsamplerate
_ for macOS and Windows (64 bit) are available.
For other systems, a C++ 14 or above compiler is required to build the package.
.. code-block:: python
import numpy as np import samplerate
fs = 1000. t = np.arange(fs * 2) / fs input_data = np.sin(2 * np.pi * 5 * t)
ratio = 1.5 converter = 'sinc_best' # or 'sinc_fastest', ... output_data_simple = samplerate.resample(input_data, ratio, converter)
resampler = samplerate.Resampler(converter, channels=1) output_data_full = resampler.process(input_data, ratio, end_of_input=True)
assert np.allclose(output_data_simple, output_data_full)
samplerate.CallbackResampler
for the Callback API, orexamples/play_modulation.py
for an example.See samplerate.resample
, samplerate.Resampler
, and
samplerate.CallbackResampler
in the API documentation for details.
scikits.samplerate <https://pypi.python.org/pypi/scikits.samplerate>
_
implements only the Simple API and uses Cython <http://cython.org/>
_ for
extern calls. The resample
function of scikits.samplerate
and this package
share the same function signature for compatiblity.
resampy <https://github.com/bmcfee/resampy>
_: sample rate conversion in
Python + Cython.
This project is licensed under the MIT license <https://opensource.org/licenses/MIT>
_.
As of version 0.1.9, libsamplerate
_ is licensed under the 2-clause BSD license <https://opensource.org/licenses/BSD-2-Clause>
_.
.. _libsamplerate: http://www.mega-nerd.com/libsamplerate/
FAQs
Monolithic python wrapper for libsamplerate based on pybind11 and NumPy
We found that samplerate demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Research
/Security News
A RubyGems malware campaign used 60 malicious packages posing as automation tools to steal credentials from social media and marketing tool users.
Security News
The CNA Scorecard ranks CVE issuers by data completeness, revealing major gaps in patch info and software identifiers across thousands of vulnerabilities.