asteroid-filterbanks
Asteroid's filterbanks
Decision gist · record as of 2026-08-14
Yes, if you are working with audio source separation or signal processing in PyTorch and need stable filterbank implementations. The low install friction and permissive MIT license make it straightforward to adopt. However, be aware that the project is dormant—no active maintenance or updates are expected, so compatibility with very recent PyTorch or Python versions is not guaranteed. Suitable for research or production use where the filterbank API is stable enough for your needs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires PyTorch (torch) and NumPy installed; requires Python 3.6 or later.
- Low install friction with a pure-Python wheel distribution.
- Maintenance is dormant—last release was 2021-04-09 and no commits since 2025-01-12, so expect no active bug fixes or updates.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
last release 2021-04-09 (1953 days) · last repo commit 2025-01-12 · 90 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,111,574 downloads/mo, #3,286 on PyPI
Alternatives
Verify before relying
pip install asteroid-filterbanks
import torch
from asteroid_filterbanks import Filterbank
fb = Filterbank()- Whether filterbank implementations remain compatible with current PyTorch versions despite dormant maintenance status.
- Whether the package works reliably with Python versions beyond 3.8, given classifiers only declare support through 3.8.
- Specific filterbank parameters and configuration options available in the API.
What it is and what it does
Asteroid Filterbanks is a PyTorch-based library that provides filterbank implementations for audio processing. It is part of the larger Asteroid toolkit for audio source separation research and offers modular filterbank components that researchers can use to decompose audio signals into frequency representations suitable for machine learning models.
The package depends on NumPy, PyTorch, and typing-extensions, making it a lightweight addition to existing audio processing pipelines. It is designed for researchers working on audio source separation and related signal processing tasks, though the project is no longer actively maintained—the last release was in April 2021 and there have been no commits since early 2025.
Use it for
- Building audio source separation models that need learnable or fixed filterbank layers in PyTorch.
- Extracting time-frequency representations from raw audio for downstream machine learning tasks.
- Prototyping audio signal processing pipelines that require modular filterbank components.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working with audio source separation or signal processing in PyTorch and need stable filterbank implementations.
The low install friction and permissive MIT license make it straightforward to adopt. However, be aware that the project is dormant—no active maintenance or updates are expected, so compatibility with very recent PyTorch or Python versions is not guaranteed. Suitable for research or production use where the filterbank API is stable enough for your needs.
Install
asteroid-filterbanks on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance is dormant—last release was 2021-04-09 and no commits since 2025-01-12, so expect no active bug fixes or updates.
Requires PyTorch (torch) and NumPy installed; requires Python 3.6 or later.
License in practice
MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install asteroid-filterbanks
import torch
from asteroid_filterbanks import Filterbank
fb = Filterbank()Verify before relying
- Whether filterbank implementations remain compatible with current PyTorch versions despite dormant maintenance status.
- Whether the package works reliably with Python versions beyond 3.8, given classifiers only declare support through 3.8.
- Specific filterbank parameters and configuration options available in the API.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesnumpytorchtyping-extensions |
| Maintenance | Dormant 1,953 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,111,574 / month, #3,286 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: asteroid_filterbanks-0.4.0-py3-none-any.whl
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