Plug and play NebulaGraph with pip install.
Project description
NebulaGraph Lite
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
- Binary Packages, if running on bare OS.
- K8s Operator, on K8s.
- NebulaGrpah Cloud, the managed NebulaGraph service.
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
- udocker, https://github.com/indigo-dc/udocker
- docker-in-colab, https://github.com/drengskapur/docker-in-colab
- NebulaGraph Docker, https://github.com/vesoft-inc/nebula-docker-compose
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