zarr-python
Chunked compressed N-dimensional arrays
Zarr is splitting into packages — and just gave its arrays an HTTP front door.
◆Recent moves
- 4h ago
zarr_http_server-v0.1.0: HTTP server that exposes stores, arrays, groups (#3732)
⚡ SPARKThe first release of a standalone zarr-http-server package, exposing stores, arrays, and groups over HTTP — the point where the package-split arc stops being a refactor and produces a surface Zarr did not have. The same tag corrects byte-order handling for structured dtypes in the bytes codec, which had been silently corrupting data whose field byte order differed from the stored layout.
View source ↗ - 12d ago
zarr-indexing 0.1.0: TensorStore-style index transforms as a standalone package
A new zarr-indexing package lands with TensorStore-style index transforms, extracting indexing logic into something usable without pulling in the whole of zarr-python. It is the second of the satellite packages and reinforces the decomposition the HTTP server later completes.
View source ↗ - 13d ago
zarr-metadata 0.4.0: model-layer changes and a standalone docs site
The 0.4.0 cut of zarr-metadata folds in the model layer's feature and removal notes plus a standalone documentation site, so the metadata package now has its own docs alongside its own version. Small in content, but it is what an independently maintained package looks like once the split is real.
View source ↗ - 2mo ago
zarr_metadata-v0.2.0: Widen ChunksLike type alias (#3990)
Widens the ChunksLike type alias and swaps an if/else expression for a statement — type-surface housekeeping in the metadata package with no behavior change for callers.
View source ↗ - 3mo ago
3.2.0rc1: experimental rectilinear chunks and a full-shard write fast path
The 3.2 release candidate is where the core library's performance work sits: a fast path for full-shard writes, an oindex optimization, chunk-transform work, and experimental support for rectilinear (variable-sized) chunks, alongside a bump to Python 3.12 as the minimum. Variable-sized chunks are the notable one — they loosen a constraint the format has carried since v2 — but this is still a candidate, not a final.
View source ↗