# Nerfstudio
> Nerfstudio is an open-source framework designed to simplify the end-to-end process of creating, training, and testing Neural Radiance Fields (NeRFs). It provides a modular PyTorch-based library that consolidates various research methods into a unified workflow with a real-time web visualizer.
- URL: https://optimly.ai/brand/nerfstudio
- Slug: nerfstudio
- BAI Score: 68/100
- Archetype: Challenger
- Category: Software Development Tools
- Last Analyzed: April 11, 2026
## Competitors
- Luma AI (https://optimly.ai/brand/luma-ai)
## Buyer Intent Signals
Problems: Custom Research Implementation: Researching and implementing the original NeRF paper or Mip-NeRF math from scratch using PyTorch or TensorFlow. | Status Quo 3D Modeling: Continuing to use 2D video or static 3D models without the view-dependent lighting effects of NeRFs.
Solutions: best open source nerf framework | how to train a neural radiance field | best app for 3d scanning on iphone | Original Research Repositories: Using the original code released by UC Berkeley/Google researchers, which is often less optimized for general use. | Traditional Photogrammetry: Capturing 360-degree video or using standard photogrammetry (like RealityCapture) which doesn't allow for the same neural volumetric rendering.
Comparisons: nerf vs photogrammetry tools | nerfacto vs instant-ngp implementation