github Not archived

opengeos/lidar

A Python package for delineating nested surface depressions from digital elevation data.

2 awesome lists

Quick read

Stars
309
Forks
63
Open issues
9
Commits
219

Activity and growth

Latest capture 2026-10-16 09:59

Stars · last 7 days
+1 +0.3%
Commits · last 7 days
0 0.0%
Stars since tracking
+13
Stored snapshots
9

Classification

Metadata

Language
Python
License
MIT
Default branch
master
Created
2018-05-14
First commit
2018-05-14
Last pushed
2026-10-12
GitHub updated
2026-10-15
Last synced
2026-10-16 09:59
Stack scanned
2026-10-16 09:59
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

9 observed captures since 2026-05-23. Observed captures are shown by default.

Stars from first capture +13

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

r-barnes/richdem

High-performance Terrain and Hydrology Analysis

326 stars
C++ 1 awesome list

creare-com/pydem

Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.

134 stars
Python 1 awesome list

r-lidar/lidR

Airborne LiDAR data manipulation and visualisation for forestry application

713 stars
R 2 awesome lists

seedlit/dsm2dtm

Generate DTM (Digital Terrain Model) from DSM (Digital Surface Model).

66 stars
Python 2 awesome lists