This is a kit that provides the ability to read and write trajectory data in the Zarr file format
Project description
zarrtraj
Latest release | |
---|---|
Status | |
Community |
Zarrtraj is an MDAnalysis MDAKit that provides the ability to read and write H5MD-formatted trajectory data in MDAnalysis using Zarr. Zarrtraj can read trajectories locally and from AWS S3, Google Cloud Buckets, and Azure Blob Storage & DataLakes. It can read both H5MD-formatted files stored in hdf5 (.h5md files) and H5MD-formatted files stored in Zarr (.zarrmd files).
Zarrtraj is installable via both pip and conda forge:
pip install zarrtraj
conda install -c conda-forge zarrtraj
For more information on installation and usage, see the zarrtraj documentation
Zarrtraj is bound by a Code of Conduct.
Copyright
The Zarrtraj source code is hosted at https://github.com/Becksteinlab/zarrtraj and is available under the GNU General Public License, version 3 (see the file LICENSE).
Copyright (c) 2024, Lawson Woods
Acknowledgements
Project based on the MDAnalysis Cookiecutter version 0.1. Please cite MDAnalysis when using Zarrtraj in published work.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file zarrtraj-0.3.0.tar.gz
.
File metadata
- Download URL: zarrtraj-0.3.0.tar.gz
- Upload date:
- Size: 97.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 079a9acae75d17f1639dd567ba90b97b35afb1ad33a313d9b170477535f2bc82 |
|
MD5 | e51692dad7216242f83f383092d8a07b |
|
BLAKE2b-256 | 88394308b83b163ea6d47d23825304c4ea46e4637ca468a1b56ff00e8d35666d |
Provenance
File details
Details for the file zarrtraj-0.3.0-py3-none-any.whl
.
File metadata
- Download URL: zarrtraj-0.3.0-py3-none-any.whl
- Upload date:
- Size: 156.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5c31ca4f534b1f609b5ee29ce8983eff31f9feba1f36e154b4feedee99bbe6bc |
|
MD5 | 68bf93fdf0a8248323deb2dc17b8fae8 |
|
BLAKE2b-256 | 6839e01653efdaf7b6671eada616dacbc112e34234aa0fff843dc0a6be52311a |