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 MIT License (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.
Release files for zarrtraj 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| zarrtraj-0.3.3.tar.gz | 62.4 kB | With provenance | Details for zarrtraj-0.3.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| zarrtraj-0.3.3-py3-none-any.whl | Python 3 | none | any | Details for zarrtraj-0.3.3-py3-none-any.whl |
Total release size: 196.6 kB
Release files / zarrtraj-0.3.3.tar.gz
| Download URL | zarrtraj-0.3.3.tar.gz |
|---|---|
| Size | 62.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2676d38bda00e79d9004734b27c9a2984b8780609b570703d05fe69a129c2113
|
|
BLAKE2b-256 checksum How to use checksums |
91f9aaeb00045ea4342d5e8ad165a8c45ca169d696052d7fb91ec31d38ea6325
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency logRelease files / zarrtraj-0.3.3-py3-none-any.whl
| Download URL | zarrtraj-0.3.3-py3-none-any.whl |
|---|---|
| Size | 134.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e3a8cd2942a39b0fcfd6a0c13fce9f39a7256136b1df4d98873f688dac3538f0
|
|
BLAKE2b-256 checksum How to use checksums |
4efa1bfe3946d8ee10fbaf4b2575c3c769df9d870dca78e8a41d5b5564baee03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency logSecurity for zarrtraj 0.3.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for zarrtraj-0.3.3.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
