This release is a pre-release and may not be stable for production use.
mdapy : Molecular Dynamics Analysis with Python
Overview
The mdapy provides a comprehensive suite of powerful, flexible, and straightforward tools for analyzing atomic trajectories generated from Molecular Dynamics (MD) simulations.
Resources
Homepage: https://github.com/mushroomfire/mdapy
Documentation: https://mdapy.readthedocs.io/
Issue Tracker: https://github.com/mushroomfire/mdapy/issues
Metadata
Release files for mdapy 1.0.8a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mdapy-1.0.8a1.tar.gz | 1.3 MB | Details |
Built distributions (wheels)
Total release size: 65.9 MB
Release files / mdapy-1.0.8a1.tar.gz
| Download URL | mdapy-1.0.8a1.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
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ad435f5bc94292f56b462b8be60681d36deea7ee0abd1b2c3bf3e66c807c9de7
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / mdapy-1.0.8a1-cp39-cp39-macosx_14_0_arm64.whl
| Download URL | mdapy-1.0.8a1-cp39-cp39-macosx_14_0_arm64.whl |
|---|---|
| Size | 2.2 MB |
| Tags | CPython 3.9 macOS 14.0+ ARM64 |
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SHA-256 checksum How to use checksums |
bc03c2b6d72f1286a59c3baead087b19d78202ebb7763014a70cc22721788902
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BLAKE2b-256 checksum How to use checksums |
44f429fccb6f9c193eb46b840c3bf04b9610c87d17917e856099528b56f7f82f
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Oct 5, 2026.
Transparency log