Spencer, I've done numerous Python based projects around OSM data, but I usually treat the data loading as a separate process outside of my applications.
For bulk loading OSM data into PostGIS I would recommend osmosis if you want a lossless representation with optional direct access to geometry. osmosis can also be used to keep your image of OSM up-to-date. Note that initial loading of the entire OSM planet takes quite some time (more than a day last time I did it). If you just require access to small chunks of data at any given time (city level or smaller) you can ingest the data on-demand using the Overpass server, for which I maintain a python interface. Overpass also allows you to target very specific subsets of OSM data. Depending on your use case that may be a preferred option. -- Martijn van Exel m...@rtijn.org On Fri, Dec 21, 2018, at 06:16, Spencer Gardner wrote: > I'm researching options for a Python-based tool that uses OSM data. From what > I can gather there's no native Python library for OSM imports to a PostGIS > database. (Yes, imposm is developed in Python but there's no documentation I > can find on how to use it as a Python library--it appears to be intended as a > command line tool). This seems odd to me since there's such a large community > of OSM users. I feel like I'm missing something. Are there other viable > Python libraries I'm not aware of? (Viable = large-ish user base and history > of bugfixing.) Is there documentation for using imposm within Python that > I've overlooked? > > Bonus points for: > - Windows compatibility > - No external (i.e. non-Python) libraries needed > > Thanks for any help! > _______________________________________________ > dev mailing list > dev@openstreetmap.org > https://lists.openstreetmap.org/listinfo/dev >
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