NetworkX is a powerful library and we love it! Learn how you can combine NetworkX and Memgraph to speed up the development process and make your queries more powerful and amazingly fast!Learn more
Import your data once and update incrementally it without having to reload your entire dataset.
Run multiple algorithms without having to upload your data every single time.
Use Cypher in addition to Python for ultimate flexibility and complex analysis.
Serve real-time query results to your user-facing applications.
Millions of nodes?
Handle large graphs with millions of nodes & edges by leveraging Memgraph's C/C++ implementation of some of the most popular NetworkX algorithms including Cycle Detection, and PageRank.
pip install gqlalchemy
import networkx as nx
from gqlalchemy import nx_to_cypher, Memgraph
graph = nx.Graph()
db = Memgraph()
for query in nx_to_cypher(graph):
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