A simple user registry that listens for rtc-quickconnect events and tracks user data in the connected room
A observable value representation
An object with observable key value pairs that can be added and removed
A debounced [observ](https://www.npmjs.com/package/observ) that will only notify every N milliseconds.
An observable representation of a W3C MediaStream
An object with observable key value pairs
Unwrap a simple or nested observable into its plain old values
An array containing observable values
Renamed to "mutant".
Populate an observable array from node descriptors.
Find a file or directory by walking up parent directories
Observ but with default value on null.
Provides scoped object access and persistence layer for Loop Drop objects.
Create observable file system scopes using observ pattern.
Create an error from multiple errors
Weak subscribe to any reactive source
Validate XML, Parse XML, Build XML without C/C++ based libraries
Get your PATH prepended with locally installed binaries
Fastest full featured PostgreSQL client for Node.js
A stand-alone types package for Undici
Lightweight library for composing asynchronous and event-based operations in JavaScript
Clean up error stack traces
Convert a tilde path to an absolute path: `~/dev` → `/Users/sindresorhus/dev`
asn1js is a pure JavaScript library implementing this standard. ASN.1 is the basis of all X.509 related data structures and numerous other protocols used on the web
Observes hits on controllers and changes in records for tracking user behaviour in a Rails application.
The directory watcher operates by scanning a directory at some interval and generating a list of files based on a user supplied glob pattern. As the file list changes from one interval to the next, events are generated and dispatched to registered observers. Three types of events are supported -- added, modified, and removed.
A confusion matrix is used to represent predicted vs observed values in a classification or recognition task. This library allows the user to incrementally add results to a confusion matrix, and then retrieve statistical information.