zarr-python
CommunityParallel, cloud-friendly N-D arrays.
Authorjackspace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Zarr enables chunked, compressed N-dimensional arrays with parallel I/O and cloud storage integration, designed for large-scale scientific computing.
Core Features & Use Cases
- Chunked arrays: Efficient storage and streaming of large data
- Compression & storage: Blosc, Gzip, Zstd with configurable codecs
- Cloud storage: S3/GCS backends and portable storage maps
- NumPy/Dask/Xarray compatibility: Seamless integration with existing pipelines
- Open APIs: Local, in-memory, ZIP, and cloud-backed storage
Quick Start
Create a 2D zarr array on disk, write data, and read back a slice with NumPy indexing.
Dependency Matrix
Required Modules
zarr
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: zarr-python Download link: https://github.com/jackspace/ClaudeSkillz/archive/main.zip#zarr-python Please download this .zip file, extract it, and install it in the .claude/skills/ directory.