Ross ROSS = Recommend OSS · open-source software intelligence for agents

Netflix/vmaf

Some data may be outdated — see provenance labels.

Perceptual video quality assessment based on multi-method fusion. observed · 2026-10-06

github.com/Netflix/vmaf · C · NOASSERTION (other) observed · 2026-10-06

Health v2 · maintenance only

93/100

  • Activity 98
  • Release rhythm 83
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 82.0
  • age_days: 3907
  • days_rel: 36
  • days_push: 15
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

5516 stars · 836 forks observed · 2026-10-06

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VMAF is Netflix's Emmy-winning perceptual video quality assessment algorithm, provided as a standalone C library (libvmaf) with a wrapping Python library. It fuses multiple quality metrics into a single score and also includes implementations of PSNR, PSNR-HVS, SSIM, MS-SSIM, CIEDE2000, and the CAMBI banding detector, plus tools for training custom models.

Use cases

  • measure perceptual quality of encoded video against a reference
  • compare video codecs with a quality metric
  • train a custom video quality model for my content
  • detect banding artifacts in video with CAMBI
  • compute PSNR, SSIM, or MS-SSIM between two videos
  • integrate video quality scoring into an encoding pipeline via ffmpeg

When to choose

  • you need an industry-standard full-reference video quality metric
  • you're evaluating or tuning video encoders and codec settings
  • you want to train a quality model tailored to your content distribution

When to avoid

  • you need no-reference quality estimation without a source video
  • you need audio quality assessment
  • you want a simple GUI tool rather than a library/CLI

Facets

library · maturity stable

video-processing machine-learning benchmarking media machine-learning windows python cpp video-quality perceptual-metrics vmaf psnr ssim ciede2000 cambi ffmpeg libvmaf video linux macos docker

1 source

Member repositories

RepositoryRoleHealth v2
Netflix/vmafmain93

For agents

markdown · JSON · MCP: product_card(name="Netflix/vmaf")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem