# nerfstudio-project/nerfstudio

A collaboration friendly studio for NeRFs

Repository: https://github.com/nerfstudio-project/nerfstudio
Canonical: https://ross.abutalabs.com/products/nerfstudio
Homepage: https://docs.nerf.studio
Language: Python
License: Apache-2.0
License Family: permissive
Topics: nerf, pytorch, 3d, 3d-graphics, 3d-reconstruction, computer-vision, deep-learning, machine-learning, photogrammetry, gaussian-splatting
Last push: 2025-07-29T02:30:55+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 34, release rhythm 8, longevity 100
- inputs: {"age_days": 1555, "days_push": 401, "days_rel": 660, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11934, forks 1662 (observed 2026-08-28T04:10:50.506225+00:00)

## What it is
Nerfstudio is a Python library and CLI toolkit providing a simple, modular API for creating, training, and testing Neural Radiance Fields (NeRFs) and Gaussian Splatting models. It includes a web viewer, data parsers, multiple state-of-the-art methods (Nerfacto, Splatfacto, Instant-NGP, TensoRF, etc.), and tools for exporting geometry to engines like Blender, Maya, and Unreal.

## Use cases
- train a NeRF model from photos of a scene
- reconstruct 3D scenes from images with gaussian splatting
- render novel views of a captured scene
- export a NeRF mesh to Blender or Unreal Engine
- interactively view and debug NeRF training in a browser
- implement and benchmark a new NeRF research method
- process video or images into a training dataset with COLMAP

## When to choose
- you want an end-to-end, plug-and-play pipeline for NeRF or Gaussian Splatting
- you need a real-time web viewer to inspect training progress
- you want to prototype or extend NeRF methods with a modular API
- you need to export trained radiance fields as meshes or point clouds for VFX pipelines

## When to avoid
- you need a lightweight inference-only viewer without training
- your project has no GPU available, since training is GPU-intensive
- you need a general-purpose photogrammetry tool producing textured meshes without neural methods
- you require a non-Python or embedded deployment environment

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, graphics, cli, developer-tools
- domain: computer-vision, machine-learning, graphics, deep-learning
- platform: python, cli
- tags: nerf, gaussian-splatting, 3d-reconstruction, photogrammetry, pytorch, 3d-graphics, viewer, novel-view-synthesis, linux, macos, gpu

## Member repositories
- nerfstudio-project/nerfstudio (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:50.506225+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 2026-08-29T17:15:03.601375+00:00, confidence not recorded.
  - readme: https://github.com/nerfstudio-project/nerfstudio (fetched 2026-08-28T04:10:50.506225+00:00, sha 0785dc261df7)
  - homepage: https://docs.nerf.studio (fetched 2026-08-29T08:13:00.962922+00:00, sha 5dd9e283626e)
  - site_page: https://docs.nerf.studio/quickstart/installation.html (fetched 2026-08-29T08:13:00.965910+00:00, sha 5f205c80cdbc)
  - site_page: https://docs.nerf.studio/quickstart/first_nerf.html (fetched 2026-08-29T08:13:00.968120+00:00, sha e98c15a98515)
  - site_page: https://docs.nerf.studio/quickstart/existing_dataset.html (fetched 2026-08-29T08:13:00.970016+00:00, sha cfb8027ec6ae)
  - site_page: https://docs.nerf.studio/quickstart/custom_dataset.html (fetched 2026-08-29T08:13:00.971763+00:00, sha 0cb86d6bd976)
  - site_page: https://docs.nerf.studio/quickstart/viewer_quickstart.html (fetched 2026-08-29T08:13:00.973917+00:00, sha 1fae988aa744)
  - site_page: https://docs.nerf.studio/quickstart/export_geometry.html (fetched 2026-08-29T08:13:00.975807+00:00, sha b998b1d6dfab)
  - site_page: https://docs.nerf.studio/quickstart/data_conventions.html (fetched 2026-08-29T08:13:00.977510+00:00, sha 901a6d4dc886)
  - site_page: https://docs.nerf.studio/reference/cli/ns_install_cli.html (fetched 2026-08-29T08:13:00.979094+00:00, sha f3688846d4a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.