{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"},{"label":"Analysis","url":"https://skillfed.io/packages/category/multimedia-sound-audio-analysis"},{"label":"Conversion","url":"https://skillfed.io/packages/category/multimedia-sound-audio-conversion"}],"enrichment":{"capability":"Performs high-quality sample-rate conversion (resampling) for audio signals, supporting both one-shot and streaming modes via a Python wrapper around libsoxr.","skillfed_tags":["audio-dsp","resampling","signal-processing"],"use_cases":["Downsampling or upsampling audio files to match target sample rates in audio processing pipelines.","Real-time audio streaming applications that need to convert between different input and output sample rates.","Digital signal processing workflows requiring high-quality resampling with minimal artifacts.","Audio feature extraction or machine learning preprocessing where sample rate normalization is needed.","Building audio codecs or transcoding tools that must resample between incompatible formats."],"what_it_does":"soxr is a Python wrapper around libsoxr, a high-quality audio resampling library. It converts audio signals from one sample rate to another while maintaining audio fidelity. The package supports both simple one-shot resampling via a single function call and streaming resampling for real-time or very long signals via a ResampleStream class. Input and output are numpy arrays; the library handles mono and multi-channel audio and preserves the input data type (float32, float64, int16, or int32).\n\nThe package is actively maintained, supports Python 3.9 and later, and offers pre-built wheels for common platforms (macOS, Linux, Windows) and architectures (x86_64, ARM). It is copyleft-licensed under LGPL-2.1-or-later, following libsoxr's license. According to the project's benchmarks, soxr is among the fastest Python resamplers available, outperforming scipy.signal.resample, resampy, and other alternatives on CPU time for typical audio workloads.","worth_installing":"Yes. soxr is production-stable, actively maintained, and offers superior resampling quality and speed compared to common alternatives. Medium install friction is manageable via pre-built wheels. LGPL-2.1-or-later licensing is suitable for open-source projects but requires review for proprietary use. Install if you need high-quality audio resampling; avoid only if copyleft licensing is incompatible with your project."},"id":"soxr","links":{"html":"https://skillfed.io/packages/soxr","md":"https://skillfed.io/packages/soxr.md","pypi":"https://pypi.org/project/soxr/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-03","license_spdx":"LGPL-2.1-or-later","license_treatment":"copyleft","name":"soxr","python_support":"supports_current","summary":"High quality, one-dimensional sample-rate conversion library"},"popularity":{"monthly_downloads":11225603,"position":1407,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.1.0"}