Results for cpu-stress

Binaries for Sentry Node Profiling

WebGL performance monitor that showing percentage of GPU/CPU load

A simple binding to Google's cpu_features library for obtaining information about installed CPU(s)

Get the operating system CPU architecture

Check whether operating system CPU architecture is 64-bit or 32-bit (Supports browsers)

Vanilla JavaScript backend for TensorFlow.js

Offload tasks to a pool of workers on node.js and in the browser

Better `os.arch()` for node and the browser -- detect OS architecture

Get running processes

an operating-system utility library

Cross-platform process cpu % and memory usage of a PID

Concurrent prettier runner

A container-friendly alternative to os.cpus().length. Both cgroups v1 and cgroups v2 are supported.

Provides the number of physical cores

Concurrent prettier runner [fork to publish Prettier v3 support to npm]

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

Recursive version of fs.readdir with small RAM & CPU footprint

Easily parallelize and stress-test your Cypress tests

The pure js optional dependency for sass-embedded

Canvas for Node.js with skia backend

A Javascript library for running ONNX models on browsers

Gives the most ammount of cpu's while keeping in mind how much memory is needed per cpu. Handy to set the amount of workers for testing

Simple CPU usage metering for node

A minimal and tiny Node.js Worker Thread Pool implementation, a fork of piscina, but with fewer features