Gammatone
Decision gist · record as of 2026-08-14
Yes, if you need perceptually-motivated audio analysis and can accept an abandoned codebase. The package is stable, has no known vulnerabilities, and low install friction. However, verify the unclear license before use in proprietary work, and do not expect bug fixes or maintenance. Best suited for research, education, or stable production use where no ongoing support is required.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.8 and a .wav audio file to analyze.
- Low friction install with standard scientific dependencies (numpy, scipy, matplotlib).
- Repository is archived and abandoned as of 2024-09-11, with no active maintenance—suitable for stable use cases but expect no updates or support.
License · maintenance · safety
(unclear) — License status is unclear; no SPDX identifier or raw license text is available. Verify licensing terms before use in proprietary or redistributed work.
last release 2024-09-10 (703 days) · last repo commit 2024-09-11 · 4 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,925 downloads/mo, #13,555 on PyPI
Alternatives
Verify before relying
pip install gammatone
import gammatone
# Analyze a .wav file
gammatone FurElise.wav -d 10- Whether the unclear license permits commercial or proprietary use.
- Current state of the MATLAB reference implementation and whether the port remains accurate.
- Whether the package is suitable for production audio analysis or primarily for research/education.
What it is and what it does
Gammatone is a Python port of Malcolm Slaney's and Dan Ellis' MATLAB gammatone filterbank code for analyzing audio through a perceptual lens. Instead of a standard Fourier-based spectrogram, it applies a bank of gammatone filters—whose bandwidth increases with center frequency—to model how the human auditory system perceives sound. The result is a time-varying spectrum that better matches human hearing than linear frequency analysis, with lower frequencies appearing more spread out and features appearing more intuitively positioned.
The package depends on numpy, scipy, and matplotlib, and runs on Python 3.8+. It can be used as a command-line tool to visualize audio files as gammatone spectrograms, or imported as a library for programmatic signal analysis. The repository is archived and no longer maintained, so it is stable but receives no updates.
Use it for
- Visualize music or speech in a way that better matches human perception than standard spectrograms.
- Analyze audio signals for research in psychoacoustics or auditory perception modeling.
- Extract perceptually-motivated features from sound for machine learning on audio tasks.
- Teach signal processing concepts by comparing gammatone and Fourier-based representations.
- Process audio in scientific or educational contexts where human hearing models are relevant.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need perceptually-motivated audio analysis and can accept an abandoned codebase.
The package is stable, has no known vulnerabilities, and low install friction. However, verify the unclear license before use in proprietary work, and do not expect bug fixes or maintenance. Best suited for research, education, or stable production use where no ongoing support is required.
Install
gammatone on PyPI
Before you install
Low friction install with standard scientific dependencies (numpy, scipy, matplotlib). Repository is archived and abandoned as of 2024-09-11, with no active maintenance—suitable for stable use cases but expect no updates or support.
Requires Python >= 3.8 and a .wav audio file to analyze.
License in practice
License status is unclear; no SPDX identifier or raw license text is available. Verify licensing terms before use in proprietary or redistributed work.
Quickstart
pip install gammatone
import gammatone
# Analyze a .wav file
gammatone FurElise.wav -d 10Verify before relying
- Whether the unclear license permits commercial or proprietary use.
- Current state of the MATLAB reference implementation and whether the port remains accurate.
- Whether the package is suitable for production audio analysis or primarily for research/education.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesnumpyscipymatplotlib |
| Maintenance | Abandoned 703 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 90,925 / month, #13,555 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: Information Analysis |
Evidence: Gammatone-1.0.3-py3-none-any.whl
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