# erikwiffin/0.30000000000000004

Floating Point Math Examples

Repository: https://github.com/erikwiffin/0.30000000000000004
Canonical: https://ross.abutalabs.com/products/030000000000000004
Homepage: https://0.30000000000000004.com/
Language: CSS
License: GPL-3.0
License Family: copyleft
Last push: 2026-05-19T19:07:59+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 35, longevity 100
- inputs: {"age_days": 5085, "days_push": 106, "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 1532, forks 175 (observed 2026-08-28T04:04:59.536239+00:00)

## What it is
An educational website (0.30000000000000004.com) explaining why floating point math produces results like 0.1 + 0.2 != 0.3, with the underlying binary representation theory. It collects code examples showing the output of 0.1 + 0.2 across dozens of programming languages.

## Use cases
- explain why 0.1 + 0.2 does not equal 0.3
- look up floating point behavior in a specific programming language
- teach students about IEEE 754 and binary fractions
- find examples of floating point precision issues across languages
- understand why computers have decimal rounding errors

## When to choose
- you need a quick, beginner-friendly explanation of floating point inaccuracy
- you want to compare how different languages print 0.1 + 0.2
- you are teaching or learning about binary number representation

## When to avoid
- you need a library for exact decimal arithmetic rather than an explanation
- you need deep, rigorous coverage of IEEE 754 beyond the basics

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation, developer-tools
- domain: education, programming-languages
- platform: cross-platform
- tags: floating-point, ieee-754, educational-website, reference, algorithms, web-server

## Member repositories
- erikwiffin/0.30000000000000004 (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.536239+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 2026-08-30T04:31:19.393890+00:00, confidence not recorded.
  - readme: https://github.com/erikwiffin/0.30000000000000004 (fetched 2026-08-28T04:04:59.536239+00:00, sha d85df2de3c2f)
  - homepage: https://0.30000000000000004.com/ (fetched 2026-08-29T11:33:24.419762+00:00, sha e81e9ef597b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.