zarr-python
Chunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
npx skills add K-Dense-AI/scientific-agent-skills --skill zarr-python --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Zarr Python ## Overview Zarr is a Python library for storing large N-dimensional arrays with chunking and compression. Apply this skill for efficient parallel I/O, cloud-native workflows, and seamless integration with NumPy, Dask, and Xarray. **Current upstream:** zarr **3.2.1** (released 2026-05-05). Docs: [zarr.readthedocs.io](https://zarr.readthedocs.io/en/stable/). New arrays default to **Zarr format 3**; set `zarr_format=2` for legacy interop. Zarr 3.2 adds rectilinear chunks and continues to refine the v3 codec pipeline. This skill is a **community guide** maintained by K-Dense Inc., not an official zarr-developers package. ## Quick Start ### Installation ```bash uv pip install "zarr==3.2.1" ``` Requires **Python 3.12+** and NumPy 2.0+ for current stable Zarr-Python. For remote stores (S3, GCS, HTTP), pin the optional extras/backends in your project lockfile: ```bash uv pip install "zarr[remote]==3.2.1" "s3fs==2026.4.0" "gcsfs==2026.5.0" ``` Use a version range such as `zarr>=3,<4` only when your project has a committed lockfile and compatibility tests. For Zarr-Python 2 / Python 3.10–3.11 workflows, choose an exact `zarr==2.x.y` patch version from the support-v2 release no
- Overview
- Quick Start
- Installation
- Basic Array Creation
- Core Operations
- Creating Arrays
- Opening Existing Arrays
- Reading and Writing Data
- Resizing and Appending
- Groups and Hierarchies
- Creating and Using Groups
- Group API (v3)
- Attributes and Metadata
- Chunking, Compression, Storage, and Performance
uv pip install "zarr==3.2.1" uv pip install "zarr[remote]==3.2.1" "s3fs==2026.4.0" "gcsfs==2026.5.0"
What does the zarr-python skill do?
Chunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill zarr-python --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.