This release is a pre-release and may not be stable for production use.
zarrista
A low-level Zarr API for Python, inspired by zarrita.js, powered from Rust by Zarrs. Serving up Zarr chunks like your favorite barista!
This project is minimally vibe-coded. A person wrote most of the code by hand, and Claude prototyped some areas.
This project is for evaluation. It examines whether a native binding to Zarrs gives better performance. It is not ready for production.
Documentation
Features
- Low-level, explicit Zarr access. Open arrays and groups, read chunks, and examine metadata. The API hides no machinery.
- Both sync and async APIs (
Array/AsyncArray,Group/AsyncGroup). - Rust core through Zarrs, for the performance of compiled code.
- NumPy integration. Read data into NumPy arrays through the buffer protocol. Rust and Python share the memory without a copy.
- Variety of data access
- Full type hinting for all operations.
Example
Open a store, then open an Array from it:
from zarrista import Array
from zarrista.store import FilesystemStore
store = FilesystemStore("data/example.zarr")
array = Array.open(store, path="/temperature")
Inspect the array's metadata:
array.shape
# [720, 1440]
array.dtype
# DataType(float32 / <f4)
array.dimension_names
# ["lat", "lon"]
Read a subset of the array. Indexing returns a DecodedArray, which converts to a NumPy array:
data = array[0:128, 0:128]
arr = data.to_numpy()
arr.shape
# (128, 128)
You can also read individual chunks by their grid index:
data = array.retrieve_chunk([0, 0])
1 maintainer
Release files for zarrista 0.1.0b8
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zarrista-0.1.0b8.tar.gz | 280.1 kB | Details |
Built distributions (wheels)
Total release size:266.2 MB
Release files / zarrista-0.1.0b8.tar.gz
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| Size | 280.1 kB |
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