# fraunhoferhhi/vvenc

VVenC, the Fraunhofer Versatile Video Encoder

Repository: https://github.com/fraunhoferhhi/vvenc
Canonical: https://ross.abutalabs.com/products/vvenc
Homepage: https://www.hhi.fraunhofer.de/en/departments/vca/technologies-and-solutions/h266-vvc.html
Language: C++
License: BSD-3-Clause-Clear
License Family: permissive
Topics: encoder, vvc, video, codec, h266
Last push: 2026-08-18T09:32:37+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 42, longevity 100
- inputs: {"age_days": 2186, "days_push": 15, "days_rel": 224, "gap_med": 98, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1203, forks 229 (observed 2026-08-28T04:03:58.651864+00:00)

## What it is
VVenC is Fraunhofer HHI's fast and efficient open-source software encoder for the H.266/VVC video compression standard, written in C++. It offers quality/speed presets, perceptual optimization via XPSNR, task-based parallelization, and single/two-pass rate control.

## Use cases
- encode video to h.266/vvc
- compress video with better quality than hevc
- fast multithreaded vvc encoding
- software video encoder for vvc
- reduce video bitrate at same quality
- encode video from command line

## When to choose
- you need maximum compression efficiency and can use the newest codec
- you need a fast, parallelized software VVC encoder
- you want perceptually optimized encoding with rate control

## When to avoid
- you need broad playback compatibility, since VVC support is still limited
- you only need a decoder (use VVdeC instead)
- you need HEVC or AVC encoding

## Facets
- artifact type: library
- maturity: active
- function: video-processing, cli, sdk
- domain: media, developer-tools
- platform: cpp, cross-platform, cli, windows
- tags: h266, vvc, video-encoder, codec, video-compression, fraunhofer, video, linux, macos

## Member repositories
- fraunhoferhhi/vvenc (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.651864+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 2026-08-30T06:20:30.376166+00:00, confidence not recorded.
  - readme: https://github.com/fraunhoferhhi/vvenc (fetched 2026-08-28T04:03:58.651864+00:00, sha 8ccfa5a1203f)
  - homepage: https://www.hhi.fraunhofer.de/en/departments/vca/technologies-and-solutions/h266-vvc.html (fetched 2026-08-29T12:27:26.327671+00:00, sha 62c37eb06430)
- Data as of 2026-08-30T08:39:29.467469+00:00.
