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Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Run Python functions (a.k.a "predictors") locally in the browser and Node.js, with full GPU acceleration and zero dependencies.
[!TIP] Join our waitlist to bring your custom Python functions and run them on-device across Android, iOS, macOS, Linux, web, and Windows.
[!CAUTION] Never embed access keys client-side (i.e. in the browser). Instead, create a proxy URL in your backend.
Function is distributed on NPM. Open a terminal and run the following command:
$ npm install fxnjs
Head over to fxn.ai to create an account by logging in. Once you do, generate an access key:
First, create a Function client, specifying your access key:
import { Function } from "fxnjs"
// Create a Function client
const fxn = new Function({ accessKey: "<ACCESS KEY>" });
Then make a prediction:
// Make a prediction
const prediction = await fxn.predictions.create({
tag: "@fxn/greeting",
inputs: { name: "Rhea" }
});
// Log the result
console.log(prediction.results[0]);
Function is a product of NatML Inc.
FAQs
Run AI prediction functions in your JavaScript and Node.js apps.
The npm package fxnjs receives a total of 45 weekly downloads. As such, fxnjs popularity was classified as not popular.
We found that fxnjs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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