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Wickra Genome — a vector database of the whole market

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Wickra Genome — Python


Part of the Wickra ecosystem: — for Python. pip install wickra-genome — prebuilt wheels for Linux, macOS and Windows, nothing to compile.

Python bindings for the Wickra Genome vector engine, built with PyO3 and maturin. A Genome handle is driven over a JSON boundary, so the same commands yield the byte-identical similarity, clustering and anomaly results as every other Wickra Genome binding.

Install

pip install wickra-genome

Pre-built wheels ship for Linux, macOS and Windows — there is nothing to compile and no C library to track down.

Building from this repository (contributors)

maturin develop --release

Quick start

import json
from wickra_genome import Genome

spec = {
    "features": [{"kind": "price", "field": "close"}],
    "symbols": ["AAA", "BBB", "CCC"],
    "normalize": "z_score",
    "metric": "euclid",
    "seed": 24333,
}
g = Genome(json.dumps(spec))

data = {
    "AAA": [{"time": 0, "open": 1, "high": 1, "low": 1, "close": 1, "volume": 0}],
    "BBB": [{"time": 0, "open": 2, "high": 2, "low": 2, "close": 2, "volume": 0}],
    "CCC": [{"time": 0, "open": 100, "high": 100, "low": 100, "close": 100, "volume": 0}],
}
g.command(json.dumps({"cmd": "build", "data": data}))

print(g.command(json.dumps({"cmd": "similar", "symbol": "AAA", "k": 2})))
print(g.command(json.dumps({"cmd": "anomaly"})))

The command protocol (build, feed, vector, similar, cluster, anomaly, version) is identical across every binding; only the Rust core computes, so a fixed seed gives the byte-identical clustering everywhere.

Benchmark

Every binding forwards to the same data-driven Rust core, so what this one adds is the call overhead of PyO3, not a different result. The core's throughput is measured by the repository's benchmark suite and the nightly bench.yml run; the numbers, the machine and how to reproduce them are in the repository BENCHMARKS.md.

Documentation

The full guide, the spec reference and the API documentation live in the main repository and the documentation site:

Wickra Genome ships native bindings for Python, Node.js, WASM and Rust, plus a C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against — all forwarding to the same data-driven, unsafe-forbidden Rust core.

Security

Found a security issue? Please don't open a public issue. Report it privately via the repository's Security tab ("Report a vulnerability") or email support@wickra.org with a subject line starting [wickra security]. Full policy: https://github.com/wickra-lib/wickra-genome/blob/main/SECURITY.md.

Disclaimer

Wickra Genome is research and analytics software. Its similarity, clustering and anomaly outputs are not investment advice, and nothing here is a recommendation to trade. Use at your own risk.

License

Licensed under either of Apache-2.0 or MIT at your option.

Release files for wickra-genome 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for wickra-genome 0.1.4
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Built distributions (wheels)

Table of built distributions (wheels) for wickra-genome 0.1.4
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wickra_genome-0.1.4-cp39-abi3-win_arm64.whl CPython 3.9 abi3 Windows ARM64 Details
wickra_genome-0.1.4-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
wickra_genome-0.1.4-cp39-abi3-musllinux_1_2_x86_64.whl CPython 3.9 abi3 Linux musl 1.2+ x86-64 Details
wickra_genome-0.1.4-cp39-abi3-musllinux_1_2_aarch64.whl CPython 3.9 abi3 Linux musl 1.2+ ARM64 Details
wickra_genome-0.1.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 abi3 Linux glibc 2.17+ x86-64 Details
wickra_genome-0.1.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 abi3 Linux glibc 2.17+ ARM64 Details
wickra_genome-0.1.4-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details
wickra_genome-0.1.4-cp39-abi3-macosx_10_12_x86_64.whl CPython 3.9 abi3 macOS 10.12+ x86-64 Details

Total release size: 6.2 MB

Release files / wickra_genome-0.1.4.tar.gz

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