MIT License

项目介绍

zarr-developers/zarr-python 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 2.1k 个 Star、468 次 Fork。

仓库全名
zarr-developers/zarr-python
开源许可证
MIT License
Star 数
2.1k
Fork 数
468
未关闭 Issue
323

README 摘要

Zarr Latest Release Package Status License Build Status Pre-commit Status Coverage Downloads Developer Chat Funding Citation What is it? Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the documentation for more information. Main Features Create N-dimensional arrays with any NumPy dtype. Chunk arrays along any dimension…

完整内容见 GitHub 原始 README 或本页 。

常见问题

zarr-python 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 2.1k 个 Star。

zarr-python 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 zarr-python 的源码?

可以直接克隆仓库:git clone https://github.com/zarr-developers/zarr-python.git,默认分支为 main;安装与运行步骤见仓库 README。

zarr-python 最近还在维护吗?

仓库最近一次更新为 4 天前,当前有 323 个未关闭 Issue;Star 数为 2.1k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

An implementation of chunked, compressed, N-dimensional arrays for Python.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
3053
价值分
1375
活跃状态
活跃

语言占比

Python

Release

README


Zarr

Latest Release latest release
latest release
Package Status status
License license
Build Status build status
Pre-commit Status pre-commit status
Coverage coverage
Downloads pypi downloads
Developer Chat
Funding CZI's Essential Open Source Software for Science
Citation DOI

What is it?

Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the documentation for more information.

Main Features

  • Create N-dimensional arrays with any NumPy dtype.
  • Chunk arrays along any dimension.
  • Compress and/or filter chunks using any NumCodecs codec.
  • Store arrays in memory, on disk, inside a zip file, on S3, etc…
  • Read an array concurrently from multiple threads or processes.
  • Write to an array concurrently from multiple threads or processes.
  • Organize arrays into hierarchies via groups.

Where to get it

Zarr can be installed from PyPI using pip:

pip install zarr

or via conda:

conda install -c conda-forge zarr

For more details, including how to install from source, see the installation documentation.

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