~/talk

Zarr vs. HDF5

Talkat PyData New York City 2019 · 2019-11-04..11-06· [databases]
links:none on file
slides:none on file

Direct comparison of actual behavior and extensibility: Zarr says 2015, pure Python, codecs via numcodecs (Blosc, JSON, msgpack), and multi‑threaded reads with S3/LMDB/zip backends, while HDF5 is ~20 years old, C core, single‑threaded default, VFD virtual file driver with a contiguous 64‑bit address space and C filters registered by integer IDs. Examples: a delta‑delta codec and an S3 file driver exist; HDF5 extensions require compiling or malloc‑compatible native code and face ABI/threading limits.

AI-written summary · about

  1. 0:00Zarr vs HDF5 intro
  2. 8:57Age and language support
  3. 16:40HDF5 custom filters
  4. 29:58Zarr custom filters
  5. 39:51HDF5 storage backends
  6. 42:16Zarr storage backends
  7. 45:29Key takeaways
  8. 50:46Q&A
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.