# nutonomy/nuscenes-devkit

The devkit of the nuScenes dataset.

Repository: https://github.com/nutonomy/nuscenes-devkit
Canonical: https://ross.abutalabs.com/products/nuscenes-devkit
Homepage: https://www.nuScenes.org
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-06T02:06:21+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 8, longevity 100
- inputs: {"age_days": 2918, "days_push": 28, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2796, forks 714 (observed 2026-08-28T04:07:22.361626+00:00)

## What it is
The official Python devkit for the nuScenes dataset, a large-scale autonomous driving dataset from Motional. It provides dataset loading, visualization, and evaluation code for detection, tracking, segmentation, prediction, and map-expansion tasks.

## Use cases
- load and explore nuScenes sensor data in Python
- evaluate 3D object detection results on nuScenes
- visualize lidar point clouds with camera images
- run nuScenes tracking or segmentation evaluation metrics
- work with nuImages annotations
- query nuScenes map expansion data

## When to choose
- you are working with the nuScenes or nuImages datasets
- you need official evaluation code for nuScenes challenges
- you want to visualize autonomous driving sensor data

## When to avoid
- you need a general-purpose lidar or dataset toolkit unrelated to nuScenes
- you want a training framework rather than a dataset devkit

## Facets
- artifact type: library
- maturity: stable
- function: data-science, machine-learning, computer-vision, data-visualization, sdk
- domain: autonomous-vehicles, computer-vision, machine-learning
- platform: python
- tags: nuscenes, dataset-devkit, lidar, 3d-object-detection, autonomous-driving, evaluation-metrics, datasets, linux, macos

## Member repositories
- nutonomy/nuscenes-devkit (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.361626+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 2026-08-29T18:49:12.990858+00:00, confidence not recorded.
  - readme: https://github.com/nutonomy/nuscenes-devkit (fetched 2026-08-28T04:07:22.361626+00:00, sha b8234c4913b3)
  - homepage: https://www.nuScenes.org (fetched 2026-08-29T09:54:52.101819+00:00, sha 44136fa355b3)
  - registry_pypi: https://pypi.org/pypi/nuscenes-devkit/json (fetched 2026-08-29T09:54:52.105384+00:00, sha da7b4d9d1abb)
- Data as of 2026-08-30T08:39:29.467469+00:00.