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Some of these may be proof of concept level at best while they are under our control, but good to keep many in mind to avoid overspecializing and painting ourselves into a corner:
- numpy arrays (or rather dictionaries of numpy arrays)
- pandas
- xarray
- dask
- tiled
- WrightTools (It's my graduate work, so useful as a test bed for integrations into libraries themselves)
- raw h5py
- Zarr
- functions
- web APIs
- databases
- networkx (graph data rather than array-like)
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