GEMD-python

Python binding for Citrine's data model, GEMD.

This package provides a framework for storing information about the processes that create materials, the materials themselves, and measurements performed on those materials.

Usage

To install gemd, you can simply:

$ pip install gemd

Detailed documentation of the GEMD data model can be found in the language-agnostic documentation. Documentation of this package can be found here.

Developer instructions

See the contributing guide.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for CitrineInformatics from gravatar.com CitrineInformatics

Credits

Author: Citrine Informatics

Requires

Python >=3.9

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for CitrineInformatics from gravatar.com CitrineInformatics

Credits

Author: Citrine Informatics

Requires

Python >=3.9

Classifiers

Report project as malware

Release files for gemd 2.2.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gemd 2.2.4
File Size Uploaded
gemd-2.2.4.tar.gz 149.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gemd 2.2.4
File Interpreter ABI Platform
gemd-2.2.4-py3-none-any.whl 197.9 kB Python 3 none any Details

Total release size: 347.7 kB

Release files / gemd-2.2.4.tar.gz

Download URL gemd-2.2.4.tar.gz
Size 149.8 kB
Tags Source
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Release files / gemd-2.2.4-py3-none-any.whl

Download URL gemd-2.2.4-py3-none-any.whl
Size 197.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		39cc604b9464c80868fc6b4b28c37d8e60efc7c7e88f10c5dd0b449d09f354ab
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What is trusted publishing? 		No
Uploaded via twine/6.1.0 CPython/3.13.7

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