npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

wickra-darwin

v0.2.1

Published

Evolutionary strategy search over Wickra strategy specs: a seeded EvolveSpec drives a byte-identical genetic search across every language binding. Node bindings powered by Rust.

Readme

CI codecov npm License: MIT OR Apache-2.0

Wickra Darwin — Node.js


Part of the Wickra ecosystem: — for Node.js. npm install wickra-darwin — prebuilt native binary, no system dependencies.

Node.js bindings for wickra-darwin, powered by Rust via napi-rs: evolve a population of Wickra strategy specs and get a byte-identical search — reproducible from its seed across every language binding.

Install

npm install wickra-darwin

The native addon ships as a prebuilt binary per platform (Linux, macOS, Windows — x64 and arm64), selected automatically through optional dependencies. There is nothing to compile.

Requires Node.js >= 22. The correct native binary is installed automatically as an optional dependency for your platform.

Quick start

const { Darwin } = require("wickra-darwin");

const 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,
};

const darwin = new Darwin(JSON.stringify(spec));
const data = {
  BTCUSDT: [
    { time: 1700000000, open: 100, high: 101, low: 99, close: 100.5, volume: 10 },
  ],
};
const report = JSON.parse(darwin.command(JSON.stringify({ cmd: "evolve", data })));
console.log(report.best);  // deterministic across runs and languages

command mirrors Darwin::command_json: the commands are set_spec, evolve, best and version. A new Darwin("{}") defers configuration to a later set_spec. An invalid spec throws; a command failure throws too.

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 napi-rs, 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 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 [email protected] 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.