velox_graph 3.0.0

VeloxGraph is an extremely fast, efficient, low-level, in-memory, minimal graph database (wow, that is a mouth full). It is not revolutionary in its design but has a few key features that make it vital to the development of a new type of neural network architecture that I am working on, and THAT is what I consider revolutionary.
Documentation 
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[dependencies.postcard]
features = ["use-std"]
version = "1.1.3"

[dependencies.rand]
version = "0.9.0"

[dependencies.serde]
features = ["derive"]
version = "1.0"

[dependencies.thiserror]
version = "2.0.12"

[dependencies.toml]
version = "0.8.20"

[lib]
name = "velox_graph"
path = "src/lib.rs"

[package]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
description = "VeloxGraph is an extremely fast, efficient, low-level, in-memory, minimal graph database (wow, that is a mouth full). It is not revolutionary in its design but has a few key features that make it vital to the development of a new type of neural network architecture that I am working on, and THAT is what I consider revolutionary."
documentation = "https://docs.rs/velox_graph"
edition = "2021"
license = "Apache-2.0"
name = "velox_graph"
readme = "README.md"
repository = "https://github.com/taylerallen6/velox_graph"
version = "3.0.0"