WhiteboxTools-ArcGIS
GeoCOCO
Our great sponsors
| WhiteboxTools-ArcGIS | GeoCOCO | |
|---|---|---|
| 5 | 1 | |
| 249 | 4 | |
| 2.0% | - | |
| 2.5 | 8.8 | |
| about 1 year ago | 7 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
WhiteboxTools-ArcGIS
- WhiteboxTools v2.1 now released
-
ArcGIS Toolbox for WhiteboxTools v1.5.0 released w/ 468 tools for geospatial analysis
GitHub: https://github.com/giswqs/WhiteboxTools-ArcGIS
- Storage capacity tool
- Kernel polygons in Arc?
GeoCOCO
What are some alternatives?
whitebox-tools - An advanced geospatial data analysis platform
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
whitebox-python - WhiteboxTools Python Frontend
qgis-earthengine-examples - A collection of 300+ Python examples for using Google Earth Engine in QGIS
pysheds - :earth_americas: Simple and fast watershed delineation in python.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
dsm2dtm - Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
whitebox - WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
python-geospatial - A collection of Python packages for geospatial analysis with binder-ready notebook examples
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/opencv/cvat]