# Jezzamonn/fourier

An Interactive Introduction to Fourier Transforms

Repository: https://github.com/Jezzamonn/fourier
Canonical: https://ross.abutalabs.com/products/fourier
Homepage: http://www.jezzamon.com/fourier
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-07-26T17:17:23+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 2958, "days_push": 38, "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 2703, forks 238 (observed 2026-08-28T04:07:11.502758+00:00)

## What it is
The source code for an interactive web-based tutorial explaining Fourier transforms through visualizations like epicycles, wave decomposition, and JPEG compression. It is built with JavaScript and Webpack, with Python/Jupyter notebooks used to generate images for the JPEG section.

## Use cases
- learn how fourier transforms work visually
- understand epicycles and drawing with sine waves
- teach signal processing concepts interactively
- see how JPEG compression uses fourier transforms
- find an intuitive explanation of frequency decomposition
- explore interactive math visualizations

## When to choose
- you want an intuitive, math-light introduction to Fourier transforms
- you need interactive visualizations to teach or learn signal processing
- you want to study how to build interactive educational web pages

## When to avoid
- you need a production Fourier transform library for your own code
- you want rigorous mathematical derivations and proofs
- you need a general-purpose math or DSP toolkit

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-visualization, graphics
- domain: tutorials, mathematics, education, data-visualization
- platform: browser
- tags: fourier-transform, interactive-explanation, epicycles, signal-processing, javascript, jupyter-notebook, education, web-server, nodejs

## Member repositories
- Jezzamonn/fourier (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:11.502758+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 2026-08-30T02:15:54.937749+00:00, confidence not recorded.
  - readme: https://github.com/Jezzamonn/fourier (fetched 2026-08-28T04:07:11.502758+00:00, sha ffc52f9eabcc)
  - homepage: http://www.jezzamon.com/fourier (fetched 2026-08-29T09:58:57.020643+00:00, sha a756b26227a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.