# FFmpeg/asm-lessons

FFmpeg Assembly Language Lessons

Repository: https://github.com/FFmpeg/asm-lessons
Canonical: https://ross.abutalabs.com/products/asm-lessons
License Family: other
Last push: 2026-02-22T16:52:19+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 68, release rhythm 35, longevity 43
- inputs: {"age_days": 613, "days_push": 192, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12136, forks 403 (observed 2026-08-28T04:10:51.846230+00:00)

## What it is
A series of lessons from FFmpeg teaching x86 assembly language (SIMD) as used in FFmpeg's optimized code paths. It includes assignments and community support aimed at preparing learners to contribute to FFmpeg.

## Use cases
- learn x86 assembly for multimedia optimization
- understand SIMD programming in FFmpeg
- prepare to contribute assembly code to FFmpeg
- study how video decoding is optimized with assembly
- practice writing hand-optimized SIMD kernels

## When to choose
- you already know C and pointers and want to learn assembly
- you want to contribute performance-critical code to FFmpeg
- you want a practical, project-based introduction to SIMD

## When to avoid
- you are a complete beginner without C knowledge
- you need general-purpose assembly tutorials unrelated to multimedia
- you want structured courses with graded assignments and certification

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: tutorials, programming-languages, developer-tools
- platform: cross-platform
- tags: assembly-language, simd, ffmpeg, education, optimization

## Member repositories
- FFmpeg/asm-lessons (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:51.846230+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 2026-08-29T17:14:54.480091+00:00, confidence not recorded.
  - readme: https://github.com/FFmpeg/asm-lessons (fetched 2026-08-28T04:10:51.846230+00:00, sha 01d04fba0e71)
- Data as of 2026-08-30T08:39:29.467469+00:00.