LabGraph Interactive

Learning LabGraph online.

What is LabGraph?

LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism. Facebook Researchers use it prototype wearable hardware systems and process digital signals under their VR/AR efforts into the Metaverse.

To put it simply, LabGraph sets the relationship between the inputs and outputs of computations and provides the needed tooling to run them in parallel to help developers focus on algorithms instead of the environment.

What is LabGraph Interactive?

As MLH Fellows who have not used LabGraph before, we had a hard time understanding its purpose, how to set it up correctly, and what to expect from the library. So we decided to help future MLH Fellows get up to speed both on concepts and usage with an interactive tool.

We built the interactive tool to let users get the taste of LabGraph with zero commitments. The interactive terminal lets the users run simulations we prepared with different numbers of features and see their expected outputs.

How to Use LabGraph Interactive?

1. Navigate to the website hosted on GitHub Pages at mlh-fellowship.github.io/labgraph-interactive
2. Type help into the terminal
3. Run the commands you would like to try out
4. Check the resulted graph built with random data

How to Use LabGraph?

To run LabGraph simulations on your machine, follow steps listed below:

1. Run pip install labgraph to install LabGraph along with its dependecieis
2. Run python setup.py install to work with the simulation we prepared and listed under random_labgraph/simulation.py
3. Run python random_labgraph/simulation.py 100 to get a graph produced with LabGraph's node in real-time

License

This project is served unded the MIT License.

MIT License

Copyright (c) 2022 MLH Fellowship

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