# 0xType/0xProto

A high-legibility programming font engineered to minimize cognitive load.

Repository: https://github.com/0xType/0xProto
Canonical: https://ross.abutalabs.com/products/0xproto
Language: Python
License: OFL-1.1
License Family: other
Topics: design, font, programming-font, typeface
Last push: 2026-03-21T10:01:37+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 54, longevity 86
- inputs: {"age_days": 1215, "days_push": 165, "days_rel": 230, "gap_med": 33.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2861, forks 25 (observed 2026-08-28T04:07:25.978624+00:00)

## What it is
0xProto is an open-source monospaced programming font designed to maximize source code legibility and minimize cognitive load. It features clear letter differentiation, small-size readability, texture healing, and non-deforming ligatures.

## Use cases
- choose a font for my code editor
- find a monospace font with readable ligatures
- a programming font that stays legible at small sizes
- font that clearly differentiates similar characters like l, I, and 1
- install a free open-source coding typeface
- font with texture healing like monaspace

## When to choose
- you spend long hours reading code and want reduced eye strain
- you dislike ligatures that distort or replace character meanings
- you need a permissively licensed (OFL) font for editors and terminals

## When to avoid
- you need a proportional or UI font for documents and websites
- you want a font with an active plugin ecosystem or tooling - it is just font files

## Facets
- artifact type: application
- maturity: active
- function: developer-tools
- domain: developer-tools, text-editors
- platform: cross-platform, windows
- tags: programming-font, typeface, monospace, ligatures, legibility, ofl-license, macos, linux

## Member repositories
- 0xType/0xProto (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:25.978624+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 2026-08-30T07:36:26.709784+00:00, confidence not recorded.
  - readme: https://github.com/0xType/0xProto (fetched 2026-08-28T04:07:25.978624+00:00, sha 3bb1610de9fa)
- Data as of 2026-08-30T08:39:29.467469+00:00.