Closed smith closed 5 months ago
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Description of new feature
Apache Arrow specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware.
There are many data analytics and observability platforms using Arrow.
The data format allows for some very efficient client-side rendering capabilities. See the article Efficiently loading massive D3 datasets using Apache Arrow for some examples.
If cytoscape.js supported this format, possibly through an extension, users would have smaller payload sizes for graph data transmitted over the network, and possibly eliminating overhead from JSON parsing.
I'm not sure how beneficial this would be, but would like to hear thoughts from the team about if it would be a useful thing.
I don't use neo4j, but it looks like (see Apache Arrow projection it supports directly importing and exporting graph data structures in this format, and you could imagine being able to export directly to a cytoscape.js graph.
Motivation for new feature
Supporting Apache Arrow could improve performance of rendering large graphs and allow for more interoperability with systems that are already using Arrow.
For reviewers
Reviewers should ensure that the following tasks are carried out for incorporated issues:
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branch via pull request. The corresponding pull request is cross-referenced.