Python implementation for a OSM / Openaddresses.io Geocoder.
This geocoder is implemented in PostgreSQL DB functions as much as possible, there is a simple API and an example flask app included.
You will need PostgreSQL 9.5+ (or 11.0+ for Openaddresses.io) with PostGIS installed as well as some disk space and data-files from OpenStreetMap and (optionally) OpenAddresses.io.
Data import will be done via Omniscale's imposm3 and a supplied python script to import the openaddresses.io data.
Optionally you can use the libpostal machine learning address classifier to parse addresses supplied as input to the forward geocoder.
For formatting the addresses from the reverse geocoder the worldwide.yml from OpenCageData address-formatting repository is used to format the address according to customs in the country that is been encoded.
See README.md in the repository for more information.
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Release files for osmgeocoder 2.1.0
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| File | Size | Uploaded | Provenance | |
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| osmgeocoder-2.1.0.tar.gz | 38.2 kB | Without provenance | Details |
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| osmgeocoder-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.8 kB
Release files / osmgeocoder-2.1.0.tar.gz
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| Tags | Python 3 |
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