| Name | zarr JSON |
| Version |
3.0.3
JSON |
| download |
| home_page | None |
| Summary | An implementation of chunked, compressed, N-dimensional arrays for Python |
| upload_time | 2025-02-14 23:30:42 |
| maintainer | jakirkham, Norman Rzepka, Ryan Abernathey, David Stansby, Deepak Cherian |
| docs_url | None |
| author | None |
| requires_python | >=3.11 |
| license | MIT License |
| keywords |
python
compressed
ndimensional-arrays
zarr
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<div align="center">
<img src="https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png"><br>
</div>
# Zarr
<table>
<tr>
<td>Latest Release</td>
<td>
<a href="https://pypi.org/project/zarr/">
<img src="https://badge.fury.io/py/zarr.svg" alt="latest release" />
</a>
</td>
</tr>
<td></td>
<td>
<a href="https://anaconda.org/anaconda/zarr/">
<img src="https://anaconda.org/conda-forge/zarr/badges/version.svg" alt="latest release" />
</a>
</td>
</tr>
<tr>
<td>Package Status</td>
<td>
<a href="https://pypi.org/project/zarr/">
<img src="https://img.shields.io/pypi/status/zarr.svg" alt="status" />
</a>
</td>
</tr>
<tr>
<td>License</td>
<td>
<a href="https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt">
<img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" />
</a>
</td>
</tr>
<tr>
<td>Build Status</td>
<td>
<a href="https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml">
<img src="https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg" alt="build status" />
</a>
</td>
</tr>
<tr>
<td>Pre-commit Status</td>
<td>
<a href=""https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml">
<img src="https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg" alt="pre-commit status" />
</a>
</td>
</tr>
<tr>
<td>Coverage</td>
<td>
<a href="https://codecov.io/gh/zarr-developers/zarr-python">
<img src="https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg"/ alt="coverage">
</a>
</td>
</tr>
<tr>
<td>Downloads</td>
<td>
<a href="https://zarr.readthedocs.io">
<img src="https://pepy.tech/badge/zarr" alt="pypi downloads" />
</a>
</td>
</tr>
<tr>
<td>Zulip</td>
<td>
<a href="https://ossci.zulipchat.com/">
<img src="https://img.shields.io/badge/zulip-join_chat-brightgreen.svg" />
</a>
</td>
</tr>
<tr>
<td>Funding</td>
<td>
<a href="https://chanzuckerberg.com/eoss/">
<img src="https://img.shields.io/badge/funded%20by-EOSS-FF414B.svg?logo=data:image/svg+xml;base64,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" alt="CZI's Essential Open Source Software for Science">
</a>
</td>
</tr>
<td>Citation</td>
<td>
<a href="https://doi.org/10.5281/zenodo.3773450">
<img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg" alt="DOI">
</a>
</td>
</tr>
</table>
## 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](https://zarr.readthedocs.io) for more information.
## Main Features
- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`.
- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension.
- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec.
- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc...
- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes.
- Write to an array concurrently from multiple threads or processes.
- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups).
## Where to get it
Zarr can be installed from PyPI using `pip`:
```bash
pip install zarr
```
or via `conda`:
```bash
conda install -c conda-forge zarr
```
For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation).
Raw data
{
"_id": null,
"home_page": null,
"name": "zarr",
"maintainer": "jakirkham, Norman Rzepka, Ryan Abernathey, David Stansby, Deepak Cherian",
"docs_url": null,
"requires_python": ">=3.11",
"maintainer_email": "Davis Bennett <davis.v.bennett@gmail.com>, Josh Moore <josh@openmicroscopy.org>, Joe Hamman <joe@earthmover.io>, Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>, Martin Durant <mdurant@anaconda.com>, Tom Augspurger <tom.w.augspurger@gmail.com>",
"keywords": "Python, compressed, ndimensional-arrays, zarr",
"author": null,
"author_email": "Alistair Miles <alimanfoo@googlemail.com>",
"download_url": "https://files.pythonhosted.org/packages/ee/49/f140566c2849f6275e5d13f5eed3556e0337d190b593998ca21a6120e612/zarr-3.0.3.tar.gz",
"platform": null,
"description": "<div align=\"center\">\n <img src=\"https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png\"><br>\n</div>\n\n# Zarr\n\n<table>\n<tr>\n <td>Latest Release</td>\n <td>\n <a href=\"https://pypi.org/project/zarr/\">\n <img src=\"https://badge.fury.io/py/zarr.svg\" alt=\"latest release\" />\n </a>\n </td>\n</tr>\n <td></td>\n <td>\n <a href=\"https://anaconda.org/anaconda/zarr/\">\n <img src=\"https://anaconda.org/conda-forge/zarr/badges/version.svg\" alt=\"latest release\" />\n </a>\n</td>\n</tr>\n<tr>\n <td>Package Status</td>\n <td>\n\t\t<a href=\"https://pypi.org/project/zarr/\">\n\t\t<img src=\"https://img.shields.io/pypi/status/zarr.svg\" alt=\"status\" />\n\t\t</a>\n </td>\n</tr>\n<tr>\n <td>License</td>\n <td>\n <a href=\"https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt\">\n <img src=\"https://img.shields.io/pypi/l/zarr.svg\" alt=\"license\" />\n </a>\n</td>\n</tr>\n<tr>\n <td>Build Status</td>\n <td>\n <a href=\"https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml\">\n <img src=\"https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg\" alt=\"build status\" />\n </a>\n </td>\n</tr>\n<tr>\n <td>Pre-commit Status</td>\n <td>\n <a href=\"\"https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml\">\n <img src=\"https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg\" alt=\"pre-commit status\" />\n </a>\n </td>\n</tr>\n\n<tr>\n <td>Coverage</td>\n <td>\n <a href=\"https://codecov.io/gh/zarr-developers/zarr-python\">\n <img src=\"https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg\"/ alt=\"coverage\">\n </a>\n </td>\n</tr>\n<tr>\n <td>Downloads</td>\n <td>\n <a href=\"https://zarr.readthedocs.io\">\n <img src=\"https://pepy.tech/badge/zarr\" alt=\"pypi downloads\" />\n </a>\n </td>\n</tr>\n<tr>\n\t<td>Zulip</td>\n\t<td>\n\t\t<a href=\"https://ossci.zulipchat.com/\">\n\t\t<img src=\"https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\" />\n\t\t</a>\n\t</td>\n</tr>\n<tr>\n\t<td>Funding</td>\n\t<td>\n\t\t<a href=\"https://chanzuckerberg.com/eoss/\">\n\t\t\t<img src=\"https://img.shields.io/badge/funded%20by-EOSS-FF414B.svg?logo=data:image/svg+xml;base64,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\" alt=\"CZI's Essential Open Source Software for Science\">\n\t\t</a>\n\t</td>\n</tr>\n\t<td>Citation</td>\n\t<td>\n\t\t<a href=\"https://doi.org/10.5281/zenodo.3773450\">\n\t\t\t<img src=\"https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg\" alt=\"DOI\">\n\t\t</a>\n\t</td>\n</tr>\n\n</table>\n\n## What is it?\n\nZarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io) for more information.\n\n## Main Features\n\n- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`.\n- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension.\n- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec.\n- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc...\n- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes.\n- Write to an array concurrently from multiple threads or processes.\n- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups).\n\n## Where to get it\n\nZarr can be installed from PyPI using `pip`:\n\n```bash\npip install zarr\n```\n\nor via `conda`:\n\n```bash\nconda install -c conda-forge zarr\n```\n\nFor more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation).\n",
"bugtrack_url": null,
"license": "MIT License",
"summary": "An implementation of chunked, compressed, N-dimensional arrays for Python",
"version": "3.0.3",
"project_urls": {
"Bug Tracker": "https://github.com/zarr-developers/zarr-python/issues",
"Changelog": "https://zarr.readthedocs.io/en/stable/release.html",
"Discussions": "https://github.com/zarr-developers/zarr-python/discussions",
"Documentation": "https://zarr.readthedocs.io/",
"Homepage": "https://github.com/zarr-developers/zarr-python"
},
"split_keywords": [
"python",
" compressed",
" ndimensional-arrays",
" zarr"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "0e4136a8b385c1523957f267172151978eb3ed37b53c8dc6db43e4e160d6d8b6",
"md5": "3f6367a8aa996bd93347d8b10d41ae62",
"sha256": "273a4de88d03769eb8cca7c7e882d697d7f5c3e40377654eeb49f1c38976808b"
},
"downloads": -1,
"filename": "zarr-3.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "3f6367a8aa996bd93347d8b10d41ae62",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.11",
"size": 187034,
"upload_time": "2025-02-14T23:30:40",
"upload_time_iso_8601": "2025-02-14T23:30:40.685367Z",
"url": "https://files.pythonhosted.org/packages/0e/41/36a8b385c1523957f267172151978eb3ed37b53c8dc6db43e4e160d6d8b6/zarr-3.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "ee49f140566c2849f6275e5d13f5eed3556e0337d190b593998ca21a6120e612",
"md5": "62be84e80353d5b77e27b2db86e9c37c",
"sha256": "d63d62b7a0461f01541b01b40a50fb48e65dc8ff054c62f4816d87b14c546f0b"
},
"downloads": -1,
"filename": "zarr-3.0.3.tar.gz",
"has_sig": false,
"md5_digest": "62be84e80353d5b77e27b2db86e9c37c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.11",
"size": 225758,
"upload_time": "2025-02-14T23:30:42",
"upload_time_iso_8601": "2025-02-14T23:30:42.834343Z",
"url": "https://files.pythonhosted.org/packages/ee/49/f140566c2849f6275e5d13f5eed3556e0337d190b593998ca21a6120e612/zarr-3.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-02-14 23:30:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "zarr-developers",
"github_project": "zarr-python",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "zarr"
}
