stdlib-js/buffer-from-string

Test if a value is a function.

Test if a value is a string.

Insert supplied variable values into a format string.

Format an error message for production.

Exponential function.

Discrete uniform distributed pseudorandom numbers.

Uniformly distributed pseudorandom numbers between 0 and 1.

Proxies nodejs require in order to allow overriding dependencies during testing.

tap-producing test harness for node and browsers

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

Buffer.

Test if a value is a Buffer object.

Read data from stdin.

This is a package to identify data-clumps-type-context

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

This small package is not from the creators of Stud.IP. Instead it only offers limited functions for the Stud.IP API.

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

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

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

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

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

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

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

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

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

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