# SilenceOverflow/Awesome-SLAM

A curated list of SLAM resources

Repository: https://github.com/SilenceOverflow/Awesome-SLAM
Canonical: https://ross.abutalabs.com/products/silenceoverflow-awesome-slam
Homepage: https://silenceoverflow.github.io/Awesome-SLAM/
License: MIT
License Family: permissive
Topics: slam, vslam, vislam
Last push: 2023-10-13T03:37:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3096, "days_push": 1055, "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 1111, forks 157 (observed 2026-08-28T04:03:37.727756+00:00)

## What it is
A curated awesome-list of SLAM (Simultaneous Localization and Mapping) and Visual Odometry resources on GitHub, covering visual, visual-inertial, LIDAR-based, learning-based, and mobile SLAM systems. It also collects datasets, tutorials, blogs, and research groups for learners and practitioners.

## Use cases
- find open-source SLAM algorithms
- learn visual SLAM from tutorials
- compare monocular stereo and RGBD SLAM systems
- find LIDAR SLAM frameworks
- discover SLAM datasets for research
- get started with visual odometry
- find SLAM learning resources and blogs

## When to choose
- you want a broad curated index of SLAM/VO projects and tutorials
- you are researching which SLAM approach fits visual, inertial, or LIDAR sensors
- you need datasets and learning material for 3D vision and robotics

## When to avoid
- you need a runnable SLAM implementation rather than a resource list
- you need up-to-date coverage, since the list was last substantially updated in 2021
- you need SLAM papers specifically, which live in a companion repo

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: robotics, computer-vision, tutorials, awesome-lists
- platform: cross-platform
- tags: slam, visual-odometry, lidar, vslam, vislam, curated-list, augmented-reality

## Member repositories
- SilenceOverflow/Awesome-SLAM (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.727756+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 2026-08-30T06:43:22.238569+00:00, confidence not recorded.
  - readme: https://github.com/SilenceOverflow/Awesome-SLAM (fetched 2026-08-28T04:03:37.727756+00:00, sha df854cc74a78)
  - homepage: https://silenceoverflow.github.io/Awesome-SLAM/ (fetched 2026-08-29T12:46:57.108024+00:00, sha e0fc853e24e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.