Get CPU instructions
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/).
Binaries for Sentry Node Profiling
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
Recursive version of fs.readdir with small RAM & CPU footprint
Concurrent prettier runner [fork to publish Prettier v3 support to npm]
Core module for compound spring embedder based layout styles
The pure js optional dependency for sass-embedded
Canvas for Node.js with skia backend
pprof support for Node.js
A Javascript library for running ONNX models on browsers
A high-performance pure-javascript SHA1 implementation suitable for large binary data.
Basic layout model and some utilities for Cytoscape.js layout extensions
Test the computational complexity (big-O) of Rust algorithms
perf_event_read package specialized for reading cpu hw instructions
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