This will return a JSON dictionary with the key: “compressors” and value: [“blosclz”, “lz4”, “lz4hc”, “gzip”, “zstd”, “deflate”].
So no ZFP support it seems.
Most of the filters supported by HSDS come from the numcodecs package. So having ZFP supported in numcodecs would make enabling ZFP in HSDS a piece of cake.
There’s a long discussion about this in the numcodes github: https://github.com/zarr-developers/numcodecs/issues/117. I haven’t read through the entire issue, but seems like ZFP uses an approach that makes it harder to implement with numcodecs, but maybe you have some thoughts here.
Another angle would be just directly using the ZFP package in HSDS. All the compression code is in hsds/util/storUtil.py, so it should be straightforward to add ZFP. If you’d like to make a pull request with the changes, I’ll be happy to review and merge the code.
Blosc2 is also supported in the hdf5plugin (Contribute — hdf5plugin documentation), but it is still kind of experimental, so you cannot use ZFP from there right out of the box. But we will be updating that soon.
The advantage of using ZFP from Blosc2 is that the latest adds multidimensional layers for storing its internal partitions, not only at a logical level, but also at a physical one (see Introducing Blosc2 NDim | Blosc Main Blog Page). This is great for allowing ZFP to compress more efficiently because it is meant to leverage duplication in multidimensional datasets.
