angular input properties as observable streams
Small library that provides ObservableInput decorator to use angular component input attributes as RxJS Observables
Thin wrapper around zen-observable and @types/zen-observable, to support ESM exports as well as CommonJS exports
Map a duplex midi stream to observable input and output value grids.
Symbol.observable ponyfill
Check if a value is an Observable
An RxJS map operator that takes an observable of arrays as input and emits arrays where each element represents emissions from the projected observable.
An Implementation of ES Observables
Convert Node Streams into ECMAScript-Observables
Support any Observable library and polyfill
TypeScript definitions for zen-observable
Light-weight observable implementation and utils written in TypeScript. Based on zen-observable.
utilities for observable asynchronous control flow
RxJS based middleware for Redux. Compose and cancel async actions and more.
JSS plugin for TC39 Observables support
<!-- TODO: update version number before releasing, here and in the script tag --> [](https://www.npmjs.com/package/indefinite-observable/v/2.0.1) [![Test status](https://img.shie
Lightweight user interface components
A JavaScript library for exploratory data visualization.
Convert Node Streams into ECMAScript-Observables
Convert an Observable to a Promise
@vue/reactivity
No description provided.
Angular DevKit - Core Utility Library
React hooks for RxJS Observables. Simple, flexible, testable and performant.
Benchmark::Trend will help you estimate the computational complexity of Ruby code by running it on inputs increasing in size, measuring their execution times, and then fitting these observations into a model that best predicts how a given Ruby code will scale as a function of growing workload.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
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