artdep
About
This is a python package designed for use in the marianski lab to easily create, and design figures for publications. The package can generate a variety of differnt plots for data analysis such as scatterplot, MD trajectories, free energy maps, histograms, etc. And can take data by importing log files from several different computational chemistry software such as Gaussian 16, Gromacs, ORCA and CP2K.
Documentation for this project can be found here
Examples on how to use the functions in this project can be found here
Documentation for the colors can be found here
Dependencies
You need the following python packages to use this package:
Python >= 3.12
Numpy
Matplotlib
Colormaps
Networkx
Install Instructions
To install the package you can run
pip install matmacore
To update the package:
pip install matmacore --upgrade
1 maintainer
Metadata
1 maintainer
Release files for matmacore 0.2.3
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 | |
|---|---|---|---|---|
| matmacore-0.2.3.tar.gz | 31.4 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matmacore-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.2 kB
Release files / matmacore-0.2.3.tar.gz
| Download URL | matmacore-0.2.3.tar.gz |
|---|---|
| Size | 31.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4d522794297b3ce150ff23697678a69d42a7f74465b587cb253565d5dbaa24d1
|
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BLAKE2b-256 checksum How to use checksums |
3f72733247318d5e885b85dfcc9fa284f8c954cdb598901b6a3453933ef97ab7
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 19, 2025.
Transparency logRelease files / matmacore-0.2.3-py3-none-any.whl
| Download URL | matmacore-0.2.3-py3-none-any.whl |
|---|---|
| Size | 31.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f079b306142ed5c7983394487ce51c740289cf6ff93c357487dbfd0ca8f9d78a
|
|
BLAKE2b-256 checksum How to use checksums |
718e6d5477c4193e02a44e14bf12fc073012574b9ae7c0c522930c5555b60e73
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 May 19, 2025.
Transparency logSecurity for matmacore 0.2.3
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
All 2 files in this release have been uploaded with provenance metadata.
Attestation for matmacore-0.2.3.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 May 19, 2025.
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.
