Netflix/vmaf
- Total stars
- 5,556
- Today · UTC
- +0since 03:33 UTC
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About the project
VMAF is Netflix's Emmy-winning perceptual video quality assessment algorithm, shipped as a C library plus Python tooling. It scores how close an encoded video looks to its source and supports model training.
Useful for
- Score encoded video against its source to compare codec or bitrate settings
- Run VMAF as an FFmpeg filter (--enable-libvmaf) in an encoding pipeline
- Train and validate a custom VMAF model on your own dataset with the Python library
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of October 19, 2026, 05:05 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-19 (UTC), 03:33–04:57: 5556 → 5556 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +14 stars, using observed gains and the previous day.
- Before this, the repository barely got any stars — about 2 per day.
- Hacker News: “Netflix vmaf: Perceptual video quality assessment based on multi-method fusion” — 21 points, 8 h ago.
Measured growth: the last 7 completed days
New stars over 7 days: 33. +200% versus the preceding 7 days.
Daily measurements · UTC
- October 12, 2026
- 3
- October 13, 2026
- 1
- October 14, 2026
- 2
- October 15, 2026
- 0
- October 16, 2026
- 3
- October 17, 2026
- 1
- October 18, 2026
- 23
Largest measured day in the last 30 days: 23 · October 18, 2026. Days with data: 30.
Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: October 19, 2026, 05:05 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 5,556
- Today
- +0 stars measured 2026-10-19, 03:33–04:57 UTC, ≈ 14 by evening
- Forks
- 842
- Issues and pull requests
- 1,687
- Watchers
- 480
- Language
- C
- Latest release
- v3.2.1 · September 14, 2026
- Created
- February 8, 2016
- Last push
- October 17, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Hacker News discussions
- Netflix vmaf: Perceptual video quality assessment based on multi-method fusion21 points, October 18, 2026
Spotted in
- October 19, 2026Spotted on Hacker News
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/Netflix/vmaf)