# embedded-graphics/embedded-graphics

A no_std graphics library for embedded applications

Repository: https://github.com/embedded-graphics/embedded-graphics
Canonical: https://ross.abutalabs.com/products/embedded-graphics
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: embedded-graphics, no-std, hacktoberfest
Last push: 2026-08-02T14:17:57+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 39, longevity 100
- inputs: {"age_days": 3131, "days_push": 31, "days_rel": 199, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1332, forks 129 (observed 2026-08-28T04:04:24.463404+00:00)

## What it is
A no_std 2D graphics library for Rust targeting memory-constrained embedded devices. It draws primitives, text, and images using an iterator-based approach without dynamic allocation or frame buffers.

## Use cases
- draw shapes and text on small embedded displays
- render graphics on microcontrollers without a heap allocator
- display UI elements on an OLED or e-ink screen in Rust
- draw 2D primitives with minimal RAM usage
- build a no_std graphics driver for a TFT display

## When to choose
- you're writing Rust for embedded hardware with tight memory limits
- you need no_std, allocator-free 2D drawing
- you want an extensible ecosystem of fonts and image format crates

## When to avoid
- you need GPU-accelerated or full desktop/mobile graphics
- your target has ample RAM and can use a full framebuffer graphics stack
- you need rich UI widgets rather than low-level drawing primitives

## Facets
- artifact type: library
- maturity: stable
- function: graphics, image-processing
- domain: embedded-systems, graphics, hardware
- platform: embedded, rust, iot
- tags: no-std, 2d-graphics, memory-constrained, displays, rust-crate

## Member repositories
- embedded-graphics/embedded-graphics (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.463404+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 2026-08-30T04:45:11.432972+00:00, confidence not recorded.
  - readme: https://github.com/embedded-graphics/embedded-graphics (fetched 2026-08-28T04:04:24.463404+00:00, sha f3d4dd6b309e)
  - registry_crates: https://crates.io/api/v1/crates/embedded-graphics (fetched 2026-08-29T12:04:10.901896+00:00, sha 3d493bf474a9)
- Data as of 2026-08-30T08:39:29.467469+00:00.