[](https://labgraph.readthedocs.io/en/latest/?badge=latest)
[](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!
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