# AllenDowney/ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Repository: https://github.com/AllenDowney/ThinkDSP
Canonical: https://ross.abutalabs.com/products/thinkdsp
Homepage: https://allendowney.github.io/ThinkDSP/
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-08-17T19:51:23+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 4768, "days_push": 16, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4616, forks 3585 (observed 2026-08-28T04:08:55.127745+00:00)

## What it is
Think DSP is a free open-source book by Allen B. Downey that teaches digital signal processing in Python using a top-down, programming-first approach. The repository contains the book's LaTeX source, the think-dsp Python package, and Jupyter notebooks with examples and exercises for each chapter.

## Use cases
- learn digital signal processing in python
- understand fourier transforms and harmonics through code
- decompose sounds into frequency components
- generate and modify audio signals programmatically
- find a free DSP textbook with runnable notebooks
- self-study signal processing without heavy math prerequisites

## When to choose
- you know Python and want to learn DSP hands-on with Jupyter notebooks
- you prefer a top-down, code-first introduction over math-heavy textbooks
- you want a free, openly licensed book with exercises and solutions

## When to avoid
- you need a production DSP library rather than educational material
- you want a rigorous bottom-up mathematical treatment of signal processing
- you need commercial-use rights to the book text (CC BY-NC-SA license)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: audio-processing, data-science, developer-tools
- domain: education, tutorials, data-science
- platform: python, cross-platform
- tags: digital-signal-processing, free-book, jupyter-notebooks, think-x-series, fourier-analysis, sound-synthesis, audio

## Member repositories
- AllenDowney/ThinkDSP (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:55.127745+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 2026-08-29T18:19:40.256974+00:00, confidence not recorded.
  - readme: https://github.com/AllenDowney/ThinkDSP (fetched 2026-08-28T04:08:55.127745+00:00, sha 211a45225a3a)
  - homepage: https://allendowney.github.io/ThinkDSP/ (fetched 2026-08-29T09:04:37.174117+00:00, sha c1dc8c797a8e)
- Data as of 2026-08-30T08:39:29.467469+00:00.