pydantic-zarr
Pydantic models for the Zarr file format
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. Install it if you work with Zarr arrays and want type-safe, validated access to their metadata and structure; skip it if you do not use Zarr or do not need schema validation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later; optional zarr I/O support available via pip install pydantic-zarr[zarr]
- Low friction installation with only three runtime dependencies (numpy, packaging, pydantic).
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-04-23 (113 days) · last repo commit 2026-08-05 · 49 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 87,058 downloads/mo, #13,816 on PyPI
Alternatives
Verify before relying
pip install pydantic-zarr
import zarr
from pydantic_zarr import GroupSpec
group = zarr.group(path='foo')
spec = GroupSpec.from_zarr(group)
print(spec.model_dump())- Whether the package handles Zarr v3 format or is limited to v2
- Performance characteristics when working with large or deeply nested Zarr groups
- Extent of round-trip fidelity (zarr → model → zarr) for all metadata types
What it is and what it does
pydantic-zarr bridges Pydantic's validation framework with the Zarr array storage format by providing Pydantic models that represent Zarr groups, arrays, and their metadata. It lets you load a Zarr group into a strongly-typed Pydantic model, validate its structure, and serialize it back to a dictionary or JSON. The package depends on numpy, packaging, and pydantic, and is designed for workflows where you need to inspect, validate, or programmatically construct Zarr hierarchies with confidence in their schema.
The library was originally developed at HHMI Janelia Research Campus to support the Cellmap Project and is now maintained by the Zarr developers organization. It is actively maintained, supports Python 3.12 and later, and carries no known security vulnerabilities.
Use it for
- Validate Zarr group structure and metadata before processing large scientific datasets
- Programmatically construct and serialize Zarr array specifications with schema validation
- Inspect and document Zarr file hierarchies in a type-safe, IDE-friendly way
- Migrate or transform Zarr metadata between different storage backends or formats
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. Install it if you work with Zarr arrays and want type-safe, validated access to their metadata and structure; skip it if you do not use Zarr or do not need schema validation.
Install
pydantic-zarr on PyPI
Before you install
Low friction installation with only three runtime dependencies (numpy, packaging, pydantic). The package is actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.12 or later; optional zarr I/O support available via pip install pydantic-zarr[zarr]
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pydantic-zarr
import zarr
from pydantic_zarr import GroupSpec
group = zarr.group(path='foo')
spec = GroupSpec.from_zarr(group)
print(spec.model_dump())Verify before relying
- Whether the package handles Zarr v3 format or is limited to v2
- Performance characteristics when working with large or deeply nested Zarr groups
- Extent of round-trip fidelity (zarr → model → zarr) for all metadata types
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesnumpypackagingpydantic |
| Maintenance | Actively maintained 113 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 87,058 / month, #13,816 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPython |
Evidence: pydantic_zarr-0.10.0-py3-none-any.whl
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