# xdspacelab/openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

Repository: https://github.com/xdspacelab/openvslam
Canonical: https://ross.abutalabs.com/products/openvslam
Homepage: https://openvslam.readthedocs.io/
License Family: other
Topics: slam, computer-vision, robotics, panorama, visual-odometry, fisheye, visual-slam, vslam, vr
Archived: true
Last push: 2021-02-25T06:32:26+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2687, "days_push": 2015, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2976, forks 868 (observed 2026-08-28T04:07:32.995999+00:00)

## What it is
OpenVSLAM is a versatile visual SLAM (Simultaneous Localization and Mapping) framework supporting monocular, stereo, and RGBD cameras, including fisheye and panoramic video. It provides real-time camera tracking and mapping for robotics, AR/VR, and computer-vision applications.

## Use cases
- run visual slam with a monocular camera
- track camera pose from fisheye video
- build a map from panoramic video
- visual odometry for a robot
- camera localization for AR/VR applications
- stereo or RGBD slam

## When to choose
- you need a flexible visual SLAM framework supporting multiple camera models including fisheye and panorama
- you want real-time camera tracking and mapping in C++

## When to avoid
- you need an actively maintained project - releases were terminated in 2021
- you need official support or a maintained license

## Facets
- artifact type: library
- maturity: abandoned
- function: computer-vision, simulation, graphics
- domain: robotics, computer-vision, autonomous-vehicles
- platform: cpp, cross-platform
- tags: slam, visual-slam, visual-odometry, fisheye, panorama, vslam, vr, camera-tracking, linux

## Member repositories
- xdspacelab/openvslam (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:32.995999+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 2026-08-30T07:31:34.709129+00:00, confidence not recorded.
  - readme: https://github.com/xdspacelab/openvslam (fetched 2026-08-28T04:07:32.995999+00:00, sha 84c0914fc427)
- Data as of 2026-08-30T08:39:29.467469+00:00.