Metadata-Version: 2.1
Name: labgraph-db
Version: 0.2.1
Summary: A library for storing experimental materials science data as graphs using MongoDB.
Download-URL: https://github.com/rekumar/labgraph
Author: Rishi E Kumar
Author-email: re.kumar@icloud.com
License: MIT
Keywords: materials,science,machine,automation,data,mongodb,storage
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev

[![Documentation Status](https://readthedocs.org/projects/labgraph/badge/?version=latest)](https://labgraph.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/rekumar/labgraph/branch/master/graph/badge.svg?token=TUCYBZI2P4)](https://codecov.io/gh/rekumar/labgraph)

<picture>
 <source media="(prefers-color-scheme: dark)" srcset="./docs/source/img/logo/labgraph_dark mode.png">
 <source media="(prefers-color-scheme: light)" srcset="./docs/source/img/logo/labgraph_light mode.png">
 <img alt="LabGraph: a graph-based schema for storing experimental data for chemistry and materials science." src="./docs/source/img/logo/labgraph_light mode.png">
</picture>

> **Warning**
> This project is still under development!

This library defines a graph-based schema for storing materials science data. 

You can read the (evolving) documentation [here](https://labgraph.readthedocs.io/en/latest/).


## Additional Dependencies

- A `Sample` graph can be plotted within Python using `Sample.plot()`. The default `networkx` plotting layouts can be pretty confusing to interpret. If you install [graphviz](https://www.graphviz.org), `labgraph` will instead use graphviz to design the graph layout in a hierarchical fashion. This only affects plotting, but if you are relying on this functionality it can make a big difference!
