szenergy/awesome-lidar resource
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators. observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 72
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2333
- days_rel: n/a
- days_push: 170
- n_releases_24m: 0
Adoption not part of the score
1331 stars · 132 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of LIDAR resources, including sensor manufacturers, datasets, point cloud processing libraries, frameworks, algorithms (SLAM, segmentation, object detection), and simulators. It serves as a reference index linking to external projects rather than being software itself.
Use cases
- find lidar datasets for autonomous driving research
- discover point cloud processing libraries
- compare lidar sensor manufacturers
- find slam algorithms for lidar odometry
- locate lidar simulators for robotics
- learn about lidar-based object detection and tracking
When to choose
- you need a starting point to discover lidar-related tools, datasets, or hardware
- you are researching autonomous driving or robotics perception
- you want a regularly maintained index of the lidar ecosystem
When to avoid
- you need actual working software rather than links to other projects
- you need in-depth tutorials or documentation on a specific algorithm
- you need a non-lidar sensing modality like radar or camera-only resources
Facets
learning-resource · maturity active
developer-tools documentation simulation computer-vision machine-learning autonomous-vehicles robotics awesome-lists computer-vision simulation cross-platform lidar point-cloud slam awesome-list curated-list sensors datasets obstacle-detection
2 sources
- readme: https://github.com/szenergy/awesome-lidar · fetched 2026-08-28 · a0fa670baa43
- homepage: https://szenergy.github.io/awesome-lidar/ · fetched 2026-08-29 · 611ba0c5e3b6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| szenergy/awesome-lidar | main | 65 |
For agents
markdown · JSON · MCP: product_card(name="szenergy/awesome-lidar")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem