dwc
pyinaturalist
| dwc | pyinaturalist | |
|---|---|---|
| 3 | 1 | |
| 196 | 123 | |
| 0.5% | 3.3% | |
| 7.6 | 8.6 | |
| about 1 month ago | 5 days ago | |
| Python | Python | |
| Creative Commons Attribution 4.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dwc
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Recommendations for self-hosted field guide
I'm a data librarian, so ideally the system would be built around the concept of collections, and support a solid metadata schema like Darwin Core.
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We are digitisers at the Natural History Museum in London, on a mission to digitise 80 million specimens and free their data to the world. Ask us anything!
With regards to longevity, when we're planning our infrastructure and how we're actually going to store our digital data we have to think in the long, long term (100+ years), much as we have to when considering how to store the physical specimens. Currently we manage our own data centre which stores all our collections and image data but we’re exploring cloud options currently. In terms of how we store the actual data, we try to map to well known standards and ontologies (such as Darwin Core - https://dwc.tdwg.org/) to ensure our data is interoperable with others and can be managed using community standards. On the Data Portal specifically, we use a versioning system to make sure that data is available long term, even if it’s been changed since it was originally made public (this happens regularly as taxonomists love to reclassify specimens!). This is particularly important when users cite our data using DOIs which should be persistent and always available.
pyinaturalist
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Hello
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).
What are some alternatives?
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
XIV-on-Mac - Wine Wrapper, Setup tool and launcher for FFXIV on mac
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
web-frameworks - Which is the fastest web framework?
tag - Technical Architecture Group