# PyWavelets/pywt

PyWavelets - Wavelet Transforms in Python

Repository: https://github.com/PyWavelets/pywt
Canonical: https://ross.abutalabs.com/products/pywt
Homepage: http://pywavelets.readthedocs.org
Language: Python
License: MIT
License Family: permissive
Topics: wavelets, wavelet-transform, signal-processing, image-processing, continuous-wavelet
Last push: 2026-08-17T13:24:11+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 9, longevity 100
- inputs: {"age_days": 4790, "days_push": 16, "days_rel": 394, "gap_med": 242, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2396, forks 539 (observed 2026-08-28T04:06:43.597828+00:00)

## What it is
PyWavelets is an open-source Python library for wavelet transforms, offering discrete, stationary, wavelet packet, and continuous wavelet transforms in 1D, 2D, and nD. It includes over 100 built-in wavelet filters, custom wavelet support, and results compatible with the Matlab Wavelet Toolbox.

## Use cases
- denoise a 1D signal with discrete wavelet transform
- compute continuous wavelet transform of time series
- 2D wavelet decomposition of images
- wavelet packet decomposition and reconstruction
- compare wavelet results with Matlab Wavelet Toolbox
- compute stationary (undecimated) wavelet transform
- approximate wavelet and scaling functions

## When to choose
- you need wavelet transforms in Python with only a NumPy dependency
- you need a wide variety of built-in wavelet families and custom wavelets
- you need Matlab-compatible wavelet transform results
- you need multilevel or nD transforms for signals and images

## When to avoid
- you only need Fourier transforms rather than time-frequency wavelet analysis
- you need GPU-accelerated or real-time wavelet computation
- you need a GUI for interactive wavelet analysis

## Facets
- artifact type: library
- maturity: stable
- function: image-processing, math, data-science
- domain: data-science, image-processing
- platform: python, windows, cross-platform
- tags: wavelets, wavelet-transform, signal-processing, dwt, cwt, numpy, scientific-computing, algorithms, linux, macos

## Member repositories
- PyWavelets/pywt (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.597828+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:34:21.238281+00:00, confidence not recorded.
  - readme: https://github.com/PyWavelets/pywt (fetched 2026-08-28T04:06:43.597828+00:00, sha b1db3f6c62ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.