# Niantic Labs — developer ecosystem report

> Building technologies and ideas that move us

- GitHub org: `nianticlabs`
- Category: other
- Overall score: 31.0 / 100
- Overall rank: #746
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 45.0 | #582 | ~22% |
| Education | 46.0 | #850 | ~18% |
| AI readiness | 7.0 | #975 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 37.0 | #404 | ~16% |
| Reach | 30.0 | #729 | ~18% |
| Momentum | 6.0 | #839 | ~14% |

## Links

- GitHub: https://github.com/nianticlabs
- Website: https://www.nianticlabs.com
- Docs: https://developers.nianticlabs.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 12,855 |
| Forks | 1,754 |
| Open issues | 189 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [monodepth2](https://github.com/nianticlabs/monodepth2) | 4,501 | Jupyter Notebook | [ICCV 2019] Monocular depth estimation from a single image |
| [simplerecon](https://github.com/nianticlabs/simplerecon) | 1,428 | Python | [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions |
| [spz](https://github.com/nianticlabs/spz) | 909 | C++ | File format for 3D Gaussian splats. About 10x smaller than the PLY equivalent with virtually no perceptible loss in visu |
| [acezero](https://github.com/nianticlabs/acezero) | 807 | Python | [ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of i |
| [manydepth](https://github.com/nianticlabs/manydepth) | 664 | Python | [CVPR 2021] Self-supervised depth estimation from short sequences |
| [mickey](https://github.com/nianticlabs/mickey) | 592 | Python | [CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences |
| [ace](https://github.com/nianticlabs/ace) | 438 | Python | [CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses |
| [stereo-from-mono](https://github.com/nianticlabs/stereo-from-mono) | 408 | Python | [ECCV 2020] Learning stereo from single images using monocular depth estimation networks |
| [venator](https://github.com/nianticlabs/venator) | 382 | Go | A flexible threat detection platform that simplifies rule management and deployment using K8s CronJob and Helm, but can  |
| [mvsanywhere](https://github.com/nianticlabs/mvsanywhere) | 325 | Python | — |
| [map-free-reloc](https://github.com/nianticlabs/map-free-reloc) | 312 | Python | [ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Image |
| [diffusionerf](https://github.com/nianticlabs/diffusionerf) | 307 | Python | [CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models |

## 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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