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 🙏

© 2024 – Pkg Stats / Ryan Hefner

rserve-ts

v0.5.0

Published

[![NPM Version](https://img.shields.io/npm/v/rserve-ts)](https://www.npmjs.com/package/rserve-ts)

Downloads

14

Readme

rserve-ts: Typescript wrapper for rserve library

NPM Version

This is a typescript wrapper for the rserve library. The goal is to provide modern async API alternatives with typescript support (via zod).

The package wraps the main connection function and allows users to evaluate arbitrary R code on the server. This will be extended to full OCAP support.

Installation

npm install rserve-ts

Usage

You need to have an Rserve server running for the following to work.

import RserveClient from "rserve-ts";

(async () => {
  const R = await RserveClient.create({
    host: "http://127.0.0.1:8081",
  });

  const rversion = await R.eval("R.version.string", R.character());
  console.log("Connected to ", rversion);
})();

OCAP mode

In OCAP mode, only pre-defined functions can be called. This is useful for restricting the R code that can be executed on the server, or for developing applications.

Zod is used to define function schemas, with additional R types defined.

# ocap.R
library(Rserve)
oc.init <- function() {
  ocap(function() {
    list(
      # Ocaps are functions that javascript can call
      add <- ocap(function(a, b) {
        a + b
      }),
      dist <- ocap(function(which = c('normal', 'uniform')) {
        # Ocaps can return new ocaps, too!
        # This could be useful for progressively revealing functionality, etc.
        switch(which,
          normal = list(sample = ocap(function(n) rnorm(n))),
          uniform = list(sample = ocap(function(n) runif(n)))
        )
      })
    )
  })
}
// ocap.ts
import { function, number, list, ocap } from "rserve-ts/types";

export const appFuns = {
  add: ocap([z.number(), z.number()], number()),
  dist: ocap([z.enum(["normal", "uniform"])], list({
    sample: ocap([z.number()], numeric()),
  })),
};
import { RserveClient } from "rserve-ts";
import { appFuns } from "./ocap";

(async () => {
  const R = await RserveClient.create({
    host: "http://127.0.0.1:8081",
  });

  const app = await R.ocap(appFuns);

  const { data: sum } = await app.add(1, 2);
  console.log("1 + 2 = ", sum);

  const { data: normal } = await app.dist("normal");
  const { data: sample } = await normal.sample(5);
  console.log("Normal sample: ", sample);
})();