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@ -408,6 +408,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [Pixel Decoder](https://github.com/Geoyi/pixel-decoder) - A machine learning python package to run deep learning with satellite imagery.
* [PixelLib](https://github.com/ayoolaolafenwa/PixelLib) - Pixellib is a library for performing segmentation of images. It suports both Semantic Segmentation as Instance Segmentation.
* [platypus](https://github.com/maju116/platypus) - R package for object detection and image segmentation.
* [Presto](https://github.com/nasaharvest/presto) - Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.
* [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.
* [segment-geospatial](https://github.com/opengeos/segment-geospatial) - Meta AI' Segment Anything Model (SAM) for Geospatial Data
* [sentinel-tree-cover](https://github.com/wri/sentinel-tree-cover) - Image segmentations of trees outside forest.
@ -855,6 +856,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [mapclassify](https://github.com/pysal/mapclassify) - Classification schemes for choropleth mapping.
* [momepy](https://github.com/martinfleis/momepy) - Momepy is a library for quantitative analysis of urban form - urban morphometrics.
* [MovingPandas](https://github.com/anitagraser/movingpandas) - Implementation of Trajectory classes and functions built on top of GeoPandas.
* [ MuseoToolBox](https://github.com/nkarasiak/MuseoToolBox) - Museo ToolBox is a python library to simplify the use of raster/vector, especially for machine learning and remote sensing.
* [networkit](https://github.com/networkit/networkit) - NetworKit is a growing open-source toolkit for large-scale network analysis.
* [networkx](http://networkx.github.io/) - To work with networks.
* [NodeBox-opengl](http://www.cityinabottle.org/nodebox/) - For playing around with animations.