Computes quantiles for numeric array.
The engine that powers scroll-into-view-if-needed
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
JavaScript library for color conversions
Computes the greatest common divisor (gcd).
Google Compute Engine Client Library for Node.js
Computes the least common multiple (lcm).
JavaScript SDK and CLI for building JavaScript applications on [Fastly Compute](https://www.fastly.com/products/edge-compute/serverless).
Computes the dot product between two numeric arrays.
A generated SDK for ComputeManagementClient.
Computes the L2 norm (Euclidean norm) of an array of values.
Computes the cosine similarity between two arrays.
The luma.gl core Device API
Symbolic computing and numeric evaluations for JavaScript and Node.js
Pure Javascript implementation of the BLAKE2b and BLAKE2s hash functions
* implements render engine's interface with WebGPU/WebGL
Compute a diff of two Slate documents
Encodings that map abstract data to visual representation.
OCI NodeJS client for Compute Cloud At Customer Service
OCI NodeJS client for Compute Instance Agent Service
AWS SDK for JavaScript Compute Optimizer Client for Node.js, Browser and React Native
Google APIs Authentication Client Library for Node.js
AWS SDK for JavaScript Lambda Client for Node.js, Browser and React Native
Extensibility template for generator-aio-app
Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05
Implementation of quantile estimators based on. Cormode et. al.: "Effective Computation of Biased Quantiles over Data Streams"