Wickra Darwin — Python

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

Python bindings for the Wickra evolutionary strategy search, built with PyO3 and maturin. A Darwin handle is driven over a JSON boundary, so a fixed seed yields the byte-identical search as every other Wickra Darwin binding.

Install

pip install wickra-darwin

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

Quick start

import json
from wickra_darwin import Darwin

spec = {
    "seed": 1, "population": 8, "generations": 3,
    "mutation_rate": 0.2, "crossover_rate": 0.6, "fitness": "sharpe",
    "search_space": {
        "indicators": [{"name": "rsi", "param_ranges": [{"min": 2, "max": 30, "step": 1}]}],
        "rules": "single_threshold", "max_conditions": 1,
    },
    "elitism": 1, "top": 5,
}

darwin = Darwin(json.dumps(spec))
data = {"BTCUSDT": [ { "time": 1700000000, "open": 100, "high": 101, "low": 99, "close": 100.5, "volume": 10 } ]}
report = json.loads(darwin.command(json.dumps({"cmd": "evolve", "data": data})))
print(report["best"])

Surface

• Darwin(spec_json) — construct a search handle from an EvolveSpec JSON ("{}" defers configuration to a later set_spec). Raises ValueError on an invalid spec.
• Darwin.command(cmd_json) — apply a command envelope ({"cmd":"...", ...}) and return the response JSON. Commands: set_spec, evolve, best, version. Raises RuntimeError on a command failure.
• Darwin.version() — the library version.

Determinism

The search's PRNG lives only in the Rust core; this binding forwards the command string verbatim, so a given seed produces the byte-identical report here and in every other binding — the exact cross-language golden invariant.

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:

• Repository: https://github.com/wickra-lib/wickra-darwin

• Docs (guides, spec reference, cookbook): https://darwin.wickra.org

• Runnable example: examples/python/

• The main project: https://github.com/wickra-lib/wickra-darwin

• Documentation: https://wickra.org

Wickra Darwin 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-darwin/blob/main/SECURITY.md.

Disclaimer

Wickra Darwin is a research tool, provided "as is" without warranty of any kind. Evolutionary search optimises a fitness objective over historical data — a strong in-sample fitness is not evidence of out-of-sample performance, and overfitting is the default outcome, not the exception. Nothing here is financial advice; any strategy you deploy is your responsibility, and trading carries risk of loss.

License

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