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Plug and play NebulaGraph with pip install.

Project description

NebulaGraph Lite

for NebulaGraph pdm-managed Jupyter GitHub release (latest by date) pypi-version python-version Open in Colab

Try NebulaGraph with pip install, on Linux/ WSL2 or even Google Colab!

How to use

Install NebulaGraph Lite

pip3 install nebulagraph-lite

Start NebulaGraph Lite from Jupyter Notebook

from nebulagraph_lite import nebulagraph_let as ng_let

n = ng_let()

n.start()

Voilà! It'ts up and running already now!

What's next

Play with nebula3-python or ipython-ngql and walk through the Documentation!

pip3 install ipython-ngql
%load_ext ngql

And we could access it like:

%ngql --address 127.0.0.1 --port 9669 --user root --password nebula

And query like:

%ngql SHOW HOSTS;

Other non-lite or less-lite options

Intrested in other play or production options?

Production

Play and Dev

  • Docker Compose, if you are comfortable on single server
  • nebula-up, one-liner test env installer on single server, support studio, dashboard, nebulagraph algorithm, exchange etc, all-in-one.
  • Docker Extension, one-click on Docker Desktop(macOS, windows) on desktop machines, in GUI flavor.
  • Nebula-Operator-KinD, Nebula K8s Operator with K8s-in-Docker, one-liner test env with docker+k8s+nebulagrpah-operator, try NebulaGraph on K8s with ease on your single server.

Acknowledgements

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