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* [ArcGIS Python API](https://developers.arcgis.com/python/) - ArcGIS API for Python is a Python library for working with maps and geospatial data, powered by web GIS.
* [PyQGIS](http://docs.qgis.org/testing/en/docs/pyqgis_developer_cookbook/) - Python for QGIS.
* [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
* [pandana](https://github.com/UDST/pandana) - Pandas Network Analysis - dataframes of network queries, quickly.
* [xarray ](http://xarray.pydata.org/en/stable/) - xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.
* [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data.
* [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
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* [Scikit-image](http://scikit-image.org/) - Scikit-image is a collection of algorithms for image processing.
* [pyWPS](http://pywps.org/) - An implementation of the Web Processing Service standard from the Open Geospatial Consortium. PyWPS is written in Python. It enables integration, publishing and execution of Python processes via the WPS standard.
* [pyCSW](http://pycsw.org/) - Fully implements the OpenGIS Catalogue Service Implementation Specification (Catalogue Service for the Web). Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation.
* [urbansim](https://github.com/UDST/urbansim) - New version of UrbanSim, a platform for modeling metropolitan real estate markets.
* [OSMnet](https://github.com/UDST/osmnet) - Tools for the extraction of OpenStreetMap street network data.
## Java
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* [ESRI Shapefile Specs](http://www.esri.com/library/whitepapers/pdfs/shapefile.pdf) - Shapefile specifications.
* [GeoJSON.io](http://geojson.io/) - geojson.io is a quick, simple tool for creating, viewing, and sharing maps.
* [GDAL/OGR Cookbook](https://pcjericks.github.io/py-gdalogr-cookbook/) - Simple code snippets on how to use the Python GDAL/OGR API.
* [Geopython](https://github.com/urschrei/Geopython) - Notebooks and libraries for spatial/geo Python explorations.
## Conferences