pyinaturalist

It is a gem. There are all kinds of fun location/organism-specific tools you can put together with the public read-only data, and owlsnearme is a good example of that. I just used it to check my area and learned there are snowy owls nearby, which is new to me! The iNat API certainly has some quirks and shortcomings, but in terms of usability it's uncommonly good compared to most biodiversity platforms. I maintain the python API client[1], which is used for data visualizations, doing useful things with your own observation data (which is how I got into it), Jupyter notebooks, Discord bots, and some research/education workflows. [1] https://github.com/pyinat/pyinaturalist

You can also get all research-grade observation data from a DarwinCore archive[1] that's updated monthly and exported to GBIF[2]. They also have a pretty good API[3], and if you happen to want to use that in a python application or script, I maintain a client library[4] for it. [1]: https://www.inaturalist.org/pages/developers [2]: https://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425... [3]: https://api.inaturalist.org/v1/docs/ [4]: https://github.com/pyinat/pyinaturalist

That's so cool! There are some really nice photos on your Flickr, and quite a few species in that Flora and Fauna album that I've never seen before. I'm also active on iNaturalist, and maintain a python API client and some other open source tools for it: https://github.com/pyinat/pyinaturalist If you ever have the desire to put together some data visualizations, stats, automation, or anything else fun or useful with your iNat data, you're more than welcome to ping me for help on GitHub (jwcook) or on the iNat forums (jcook).