Calculate the standard deviation of a double-precision floating-point strided array.
Leaflet utils
Planck distribution expected value.
Calculate the range of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring NaN values.
Statistical functions
Bradford distribution mode.
TPS stats widget with waterfall trace visualization for pi coding agent
A transport layer for Meshtastic applications using HTTP.
Bradford distribution expected value.
Calculate the size of DynamoDB item in DynamoDB JSON
Compute the sum of absolute values for all iterated values.
CLI tool for interacting with LinkUp contracts on Stacks/Bitcoin
Vestige MCP Server — local cognitive memory for MCP-compatible AI agents
A 'reactive' React node and edge generator
Cloud WebSocket server for Mtop DevTools — bridges cloud agents to local connectors
Compute the range of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
Lightweight and efficient state management for React with TypeScript support
Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.
Quickly watch real-time memory stats of your nuxt app
Create an iterator which iteratively computes a cumulative range.
Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using Welford's algorithm.
Accurate statusline for Claude Code CLI with colorful progress bar
Create an iterator which iteratively computes a cumulative maximum absolute value.
Compute the maximum absolute value of a sorted one-dimensional double-precision floating-point ndarray.