This is going to provide the random meaningful string using animal names followed by adjective followed by numbers. Additional to that, you can generate random shortId using custom options

@stdlib/random-base-exponential

Exponentially distributed pseudorandom numbers.

@stdlib/random-base-binomial

Binomial distributed pseudorandom numbers.

@stdlib/random-base-laplace

Laplace (double exponential) distributed pseudorandom numbers.

@stdlib/random-base-rayleigh

Rayleigh distributed pseudorandom numbers.

@stdlib/random-base-randn

Standard normal pseudorandom numbers.

@grandom/mt19937

Configurable Mersenne Twister PRNG implementation written in TypeScript.

@grandom/engines

Various RNG engines for the grandom library.

@stdlib/random-sample

Sample elements from an array-like object.

@stdlib/random-tools-binary

Constructor for creating ndarrays filled with pseudorandom values drawn from a binary PRNG.

glsl-random

pseudo-random 2D noise for glslify

@stdlib/random-tools-binary-factory

Create a function for generating pseudorandom values drawn from a binary PRNG.

@grandom/core

Core package of the grandom library.

@stdlib/random-uniform

Generate pseudorandom numbers drawn from a continuous uniform distribution.

cat-names

Get popular cat names

@stdlib/random-discrete-uniform

Generate pseudorandom numbers drawn from a discrete uniform distribution.

@stdlib/random-iter-randu

Create an iterator for generating uniformly distributed pseudorandom numbers between 0 and 1.

@stdlib/random-array-bernoulli

Create an array containing pseudorandom numbers drawn from a Bernoulli distribution.

@stdlib/random-array-tools-unary-factory

Create a factory function for generating pseudorandom values drawn from a unary PRNG.

@stdlib/random-array-tools-unary

Constructor for creating arrays filled with pseudorandom values drawn from a unary PRNG.

@jswork/next-sample

Get an/some element from array like target.

crayola

Get Crayola Names and Color Codes

@watrack/human-names

Get popular human names

@stdlib/random-iter-uniform

Create an iterator for generating pseudorandom numbers drawn from a continuous uniform distribution.

replayable-random

Reproducible sequences of pseudo random numbers for TypeScript and JavaScript

temperment

Get a random temporary file or directory path that will delete itself

animals

Get animals

hash-index

A hashing function which returns integers with a possible max value

@stdlib/random-iter-pareto-type1

Create an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.

@stdlib/random-streams-rayleigh

Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.

world-countries-capitals

A simple NPM package to get capitals, currency, native language, famous_for etc. of all the countries in the world

random-string-gen

A simple module for generating random strings in your code and in CLI

pick-random-cli

Pick random items from a list

tempfile2

Get a random temp file path. much better.

@stdlib/random-tools-unary-factory

Create a function for generating pseudorandom values drawn from a unary PRNG.

@stdlib/random-tools-unary

Constructor for creating ndarrays filled with pseudorandom values drawn from a unary PRNG.

@stdlib/random-bernoulli

Generate pseudorandom numbers drawn from a Bernoulli distribution.

better-randstr

Fully-customizable random string generator

nicknames

Generate nicknames

randbytes

Get a buffer of random bytes from /dev/urandom file, time or another source

supervillains

Get supervillain names

human-names

Get popular human names

@grandom/number

A configurable, flexible, seedable, and overall great random number generator.

rand-gen

Generates a random set of characters.

@haensl/services

Assorted JavaScript services.

random-web-token

Generate customizable random strings (tokens) using secure charsets with validation – zero dependencies.

grandom

Configurable, flexible, and overall great random number and data generator library.

@sol_o_o/next-starter

easy next start pakage for newby

@grandom/weighted

Configurable, flexible, seedable, and overall great weighted randoms.

@grandom/shuffle

A configurable, flexible, seedable, and overall great random shuffler.

@grandom/bigint

A great random bigint generator.

@grandom/boolean

A configurable, flexible, seedable, and overall great random boolean generator.

@stdlib/random-iter-discrete-uniform

Create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.

@grandom/pick

A configurable, flexible, seedable, and overall great random picker.

@grandom/string

A configurable, flexible, seedable, and overall great random string generator.

@grandom/weighted-umd

Various UMD builds of a great weighted random generator.

@grandom/string-umd

Various UMD builds of a great random string generator.

@stdlib/random-iter-beta

Create an iterator for generating pseudorandom numbers drawn from a beta distribution.

@lazy-num/parse-number-string

@grandom/number-umd

Various UMD builds of a great random number generator.

@grandom/boolean-umd

Various UMD builds of a great random boolean generator.

@grandom/shuffle-umd

Various UMD builds of a great random shuffler.

@stdlib/random-strided-normal

Fill a strided array with pseudorandom numbers drawn from a normal distribution.

stonev5-utils

all my utils here (browser version)

@grandom/bigint-umd

Various UMD builds of a great random bigint generator.

seeded-random-utilities

Common random functions that are seedable with TypeScript support

@grandom/pick-umd

Various UMD builds of a great random picker.

random-extra

Seedable random number generator supporting many common distributions.

@stdlib/random-strided-tools-unary-factory

Create a factory function for filling strided arrays with pseudorandom values drawn from a unary PRNG.

@adriantombu/array-shuffle

A package that... well... shuffles the values of an array. Yup. That's all.

@stdlib/random-array-normal

Create an array containing pseudorandom numbers drawn from a normal distribution.

@stdlib/random-normal

Generate pseudorandom numbers drawn from a normal distribution.

snake-names

Get popular snake names

@stdlib/random-array-randu

Create an array containing uniformly distributed pseudorandom numbers between 0 and 1.

random-human-names

Get popular human names

@stdlib/random-array-tools-ternary

Constructor for creating arrays filled with pseudorandom values drawn from a ternary PRNG.

@lazy-random/df-algorithm

random-choice

Get a weighted random item from an array

@stdlib/random-streams-bernoulli

Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.

@grandom/engines-umd

Various UMD builds of RNG engines for the grandom library.

@stdlib/random-shuffle

Shuffle elements of an array-like object.

@stdlib/random-streams-f

Create a readable stream for generating pseudorandom numbers drawn from an F distribution.

@stdlib/random-streams-lognormal

Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.

@lazy-random/df-poisson

@stdlib/random-streams-laplace

Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.

@stdlib/random-tools-ternary

Constructor for creating ndarrays filled with pseudorandom values drawn from a ternary PRNG.

@lazy-random/util-distributions

@lazy-random/array-algorithm

@stdlib/random-streams-improved-ziggurat

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.

@stdlib/random-tools-ternary-factory

Create a function for generating pseudorandom values drawn from a ternary PRNG.

popular-movie-quotes

A simple NPM package to get popular movie quotes

@lazy-random/df-array

@stdlib/random-iter-minstd-shuffle

Create an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.

@stdlib/random-iter-mt19937

Create an iterator for a 32-bit Mersenne Twister pseudorandom number generator.

find-port-sync

Sync get an available port

@stdlib/random-streams-normal

Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.

@stdlib/random-streams-uniform

Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.

@stdlib/random-iter-minstd

Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.

@stdlib/random-streams-minstd-cli

Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.

@stdlib/random-streams-minstd-shuffle

Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.

compute-lcg

A linear congruential pseudorandom number generator (lcg).

@stdlib/random-iter-box-muller

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

@lazy-random/rng-factory

@stdlib/random-streams-gumbel

Create a readable stream for generating pseudorandom numbers drawn from a Gumbel distribution.

@lazy-random/distributions

@stdlib/random-iter-bernoulli

Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.

@stdlib/random-streams-chisquare

Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.

@mdrv/surrealid

SurrealDB-compatible ID generation (rand/ulid/uuid) — pure, zero-dependency

@stdlib/random-array-exponential

Create an array containing pseudorandom numbers drawn from an exponential distribution.

@stdlib/random-streams-weibull

Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.

@lazy-random/df-uuid

@lazy-random/generators-seedrandom

people-names

Get popular human names

@lazy-random/df-uniform

@stdlib/random-array-tools-ternary-factory

Create a factory function for generating pseudorandom values drawn from a ternary PRNG.

@stdlib/random-iter-lognormal

Create an iterator for generating pseudorandom numbers drawn from a lognormal distribution.

@stdlib/random-streams-logistic

Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.

@lazy-random/generators-math-random2

@stdlib/random-iter-binomial

Create an iterator for generating pseudorandom numbers drawn from a binomial distribution.

@stdlib/random-streams-gamma

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.

@lazy-random/generators-xor128

@stdlib/random-streams-hypergeometric

Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.

@lazy-random/generators-crypto

@lazy-random/df-char-id

@lazy-random/cross-crypto

@lazy-random/df-item-by-weight

@stdlib/random-iter-chisquare

Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.

@stdlib/random-iter-randn

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.

@stdlib/random-iter-invgamma

Create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.

@stdlib/random-iter-levy

Create an iterator for generating pseudorandom numbers drawn from a Lévy distribution.

@stdlib/random-iter-t

Create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.

@stdlib/random-streams-poisson

Create a readable stream for generating pseudorandom numbers drawn from a Poisson distribution.

@stdlib/random-iter-laplace

Create an iterator for generating pseudorandom numbers drawn from a Laplace distribution.

@stdlib/random-streams-frechet

Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.

@stdlib/random-iter-randi

Create an iterator for generating pseudorandom numbers having integer values.

@stdlib/random-streams-levy

Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.

@stdlib/random-iter-f

Create an iterator for generating pseudorandom numbers drawn from an F distribution.

@stdlib/random-iter-negative-binomial

Create an iterator for generating pseudorandom numbers drawn from a negative binomial distribution.

@stdlib/random-streams-t

Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.

@stdlib/random-streams-discrete-uniform

Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.

@stdlib/random-streams-box-muller

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

@lazy-random/df-sum

@stdlib/random-streams-randi

Create a readable stream for generating pseudorandom numbers having integer values.

@stdlib/random-streams-minstd

Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.

@stdlib/random-streams-beta

Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.

@stdlib/random-streams-negative-binomial

Create a readable stream for generating pseudorandom numbers drawn from a negative binomial distribution.

@stdlib/random-iter-geometric

Create an iterator for generating pseudorandom numbers drawn from a geometric distribution.

@stdlib/random-streams-kumaraswamy

Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.

@stdlib/random-iter-betaprime

Create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.

@stdlib/random-iter-improved-ziggurat

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.

@stdlib/random-array-minstd-shuffle

Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.

@stdlib/random-iter-erlang

Create an iterator for generating pseudorandom numbers drawn from an Erlang distribution.

@stdlib/random-streams-mt19937

Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.

@stdlib/random-streams-geometric

Create a readable stream for generating pseudorandom numbers drawn from a geometric distribution.

@stdlib/random-strided-betaprime

Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.

@lazy-random/rng-abstract-core

@stdlib/random-streams-randn

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.

@stdlib/random-streams-arcsine

Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.

@stdlib/random-iter-hypergeometric

Create an iterator for generating pseudorandom numbers drawn from a hypergeometric distribution.

@stdlib/random-strided-tools-binary-factory

Create a factory function for filling strided arrays with pseudorandom values drawn from a binary PRNG.

@stdlib/random-iter-gumbel

Create an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.

@lazy-random/random-core

@stdlib/random-iter-logistic

Create an iterator for generating pseudorandom numbers drawn from a logistic distribution.

@stdlib/random-streams-randu

Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.

@stdlib/random-streams-triangular

Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.

@stdlib/random-iter-rayleigh

Create an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.

@stdlib/random-iter-cauchy

Create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.

@stdlib/random-array-cosine

Create an array containing pseudorandom numbers drawn from a raised cosine distribution.

@stdlib/random-iter-arcsine

Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.

@stdlib/random-streams-cauchy

Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.

@lazy-num/sum

@stdlib/random-iter-normal

Create an iterator for generating pseudorandom numbers drawn from a normal distribution.

@stdlib/random-iter-exponential

Create an iterator for generating pseudorandom numbers drawn from an exponential distribution.

@stdlib/random-streams-binomial

Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.

@stdlib/random-streams-invgamma

Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.

anid

Yet another unique alphanumeric id generator

@stdlib/random-streams

Pseudorandom number generator streams.

@stdlib/random-streams-exponential

Create a readable stream for generating pseudorandom numbers drawn from an exponential distribution.

@stdlib/random-iter-kumaraswamy

Create an iterator for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.

@stdlib/random-streams-cosine

Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.

@stdlib/random-iter-chi

Create an iterator for generating pseudorandom numbers drawn from a chi distribution.

@stdlib/random-streams-pareto-type1

Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.

@stdlib/random-streams-erlang

Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.

chipsy

Generate psuedo random colors for UI elements like chips, tags, badges, etc..

@lazy-random/util-probabilities

@stdlib/random-iter-poisson

Create an iterator for generating pseudorandom numbers drawn from a Poisson distribution.

@stdlib/random-iter-gamma

Create an iterator for generating pseudorandom numbers drawn from a gamma distribution.

@stdlib/random-iter-weibull

Create an iterator for generating pseudorandom numbers drawn from a Weibull distribution.

@stdlib/random-iter-cosine

Create an iterator for generating pseudorandom numbers drawn from a raised cosine distribution.

@stdlib/random-array-mt19937

Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

@stdlib/random-streams-betaprime

Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.

@stdlib/random-iter-triangular

Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.

@aicacia/rand

aicacia rand utils

@stdlib/random-iter

Pseudorandom number generator iterators.

@stdlib/random-array-binomial

Create an array containing pseudorandom numbers drawn from a binomial distribution.

@stdlib/random-strided-tools-ternary-factory

Create a factory function for filling strided arrays with pseudorandom values drawn from a ternary PRNG.

randf

random float between a range

@stdlib/random-strided-mt19937

Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

@stdlib/random-streams-chi

Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.

@stdlib/random-iter-frechet

Create an iterator for generating pseudorandom numbers drawn from a Fréchet distribution.