# Snap Research — developer ecosystem report

- GitHub org: `snap-research`
- Category: ai
- Overall score: 39.0 / 100
- Overall rank: #496
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 37.0 | #817 | ~22% |
| Education | 77.0 | #191 | ~18% |
| AI readiness | 10.0 | #824 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 56.0 | #71 | ~16% |
| Reach | 0.0 | #1077 | ~18% |
| Momentum | 13.0 | #722 | ~14% |

## Links

- GitHub: https://github.com/snap-research
- Website: https://research.snap.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 11,401 |
| Forks | 1,221 |
| Open issues | 344 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [articulated-animation](https://github.com/snap-research/articulated-animation) | 1,277 | Jupyter Notebook | Code for Motion Representations for Articulated Animation paper |
| [EfficientFormer](https://github.com/snap-research/EfficientFormer) | 1,115 | Python | EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022] |
| [locomo](https://github.com/snap-research/locomo) | 1,096 | Python | — |
| [NeROIC](https://github.com/snap-research/NeROIC) | 1,012 | Python | — |
| [GRID](https://github.com/snap-research/GRID) | 726 | Python | GRID: Generative Recommendation with Semantic IDs |
| [Panda-70M](https://github.com/snap-research/Panda-70M) | 702 | Python | [CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers |
| [HyperHuman](https://github.com/snap-research/HyperHuman) | 495 | HTML | [ICLR 2024] Github Repo for "HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion" |
| [stable-flow](https://github.com/snap-research/stable-flow) | 409 | Python | Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025] |
| [MoCoGAN-HD](https://github.com/snap-research/MoCoGAN-HD) | 246 | Python | [ICLR 2021 Spotlight] A Good Image Generator Is What You Need for High-Resolution Video Synthesis |
| [3dgp](https://github.com/snap-research/3dgp) | 213 | Python | 3D generation on ImageNet [ICLR 2023] |
| [MobileR2L](https://github.com/snap-research/MobileR2L) | 195 | Python | [CVPR 2023] Real-Time Neural Light Field on Mobile Devices |
| [MMVID](https://github.com/snap-research/MMVID) | 191 | Python | [CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning |

## 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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