Show HN: NetworkX and pyarrow = 6-7x memory savings
https://github.com/Ladybug-Memory/networkx/tree/pyarrow This branch contains a new backend that consumes 6.5x less memory vs the default backend. Trade off: faster for immutable graphs, but slower ...
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Writes will be slower though. That's the trade-off for all columnar tech in general. You can enjoy the savings for a read-only network and switch to classic networkx when you need to write.
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