# OpenNI/OpenNI

OpenNI

Repository: https://github.com/OpenNI/OpenNI
Canonical: https://ross.abutalabs.com/products/openni
Language: C++
License: Apache-2.0
License Family: permissive
Last push: 2020-11-26T08:11:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5747, "days_push": 2106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1394, forks 626 (observed 2026-08-28T04:04:36.357666+00:00)

## What it is
OpenNI is a C++ framework and SDK providing a standard interface for depth sensors and 3D vision devices like PrimeSense and Kinect cameras. It offers middleware APIs for accessing depth, color, and skeleton-tracking data streams.

## Use cases
- access depth camera data from a PrimeSense or Kinect sensor
- capture skeleton tracking data for gesture recognition
- build 3D scanning applications with depth sensors
- read color and depth image streams in C++
- prototype computer vision apps with RGB-D cameras

## When to choose
- working with legacy PrimeSense/Kinect hardware on older platforms
- you need the classic OpenNI 1.x API for existing code

## When to avoid
- starting a new project - the project is largely unmaintained and superseded by OpenNI 2 or modern SDKs
- you need modern OS or compiler support

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, sdk, graphics
- domain: computer-vision, hardware, robotics, developer-tools
- platform: windows, cpp, cross-platform
- tags: depth-cameras, kinect, primesense, sensors, 3d-vision, legacy, linux, macos

## Member repositories
- OpenNI/OpenNI (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.357666+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 2026-08-30T04:39:25.617812+00:00, confidence not recorded.
  - readme: https://github.com/OpenNI/OpenNI (fetched 2026-08-28T04:04:36.357666+00:00, sha dbdee2c320b2)
- Data as of 2026-08-30T08:39:29.467469+00:00.