# Dolby Laboratories — developer ecosystem report

- GitHub org: `DolbyLaboratories`
- Category: dev_tool
- Overall score: 29.0 / 100
- Overall rank: #809
- Last refreshed: 2026-08-19

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 33.0 | #921 | ~22% |
| Education | 67.0 | #431 | ~18% |
| AI readiness | 6.0 | #1004 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 13.0 | #796 | ~16% |
| Reach | 40.0 | #499 | ~18% |
| Momentum | 21.0 | #619 | ~14% |

## Links

- GitHub: https://github.com/DolbyLaboratories
- Website: http://www.dolby.com
- Docs: https://dolby.com/docs

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 826 |
| Forks | 167 |
| Open issues | 26 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [dlb_mp4base](https://github.com/DolbyLaboratories/dlb_mp4base) | 279 | C | The Dolby MP4 streaming muxer (dlb_mp4base) is a software implementation of a muxer of fragmented or unfragmented ISO ba |
| [dlb_mp4demux](https://github.com/DolbyLaboratories/dlb_mp4demux) | 121 | C | The Dolby MP4 streaming demuxer (dlb_mp4demux) is a software implementation of a demuxer of fragmented or unfragmented I |
| [neural-upsampling-artifacts-audio](https://github.com/DolbyLaboratories/neural-upsampling-artifacts-audio) | 81 | Jupyter Notebook | Upsampling Artifacts in Neural Audio Synthesis – https://arxiv.org/abs/2010.14356 |
| [dolby-encoding-engine](https://github.com/DolbyLaboratories/dolby-encoding-engine) | 78 | C++ | — |
| [gst-home-audio](https://github.com/DolbyLaboratories/gst-home-audio) | 42 | C | GStreamer plugins collection for building Dolby Home Audio media pipeline |
| [pmd_tool](https://github.com/DolbyLaboratories/pmd_tool) | 24 | C++ | pmd_tool is a command line utility that converts between different representations of SMPTE RDD49 metadata and Serial AD |
| [daaplay](https://github.com/DolbyLaboratories/daaplay) | 23 | Swift | — |
| [universal_transcoder](https://github.com/DolbyLaboratories/universal_transcoder) | 21 | Python | — |
| [dolby-vision-editor](https://github.com/DolbyLaboratories/dolby-vision-editor) | 20 | C++ | — |
| [dolby_vision_professional_decoder_plugin](https://github.com/DolbyLaboratories/dolby_vision_professional_decoder_plugin) | 17 | C | — |
| [AM-Viewer](https://github.com/DolbyLaboratories/AM-Viewer) | 12 | Python | Audio Metadata Viewer |
| [Bento4](https://github.com/DolbyLaboratories/Bento4) | 10 | C++ | Full-featured MP4 format and MPEG DASH library and tools |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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