explaingit

dtao/lazy.js

5,977JavaScriptAudience · developerComplexity · 2/5Setup · easy

TLDR

JavaScript utility library like Underscore or Lodash that defers work until you ask for results, so operations on large arrays stop as soon as they have enough, no wasted processing.

Mindmap

mindmap
  root((lazy.js))
    Core idea
      Deferred evaluation
      Stop-early results
      No temp arrays
    Features
      Array operations
      Infinite sequences
      String processing
      DOM event streams
    Compatibility
      Underscore API
      Lodash API
      No dependencies
    Install
      npm
      Script tag
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Things people build with this

USE CASE 1

Filter a large in-browser dataset and stop processing as soon as the first N matching results are found.

USE CASE 2

Generate an infinite sequence such as Fibonacci numbers and pull only as many values as needed.

USE CASE 3

Pipe DOM events like mouse moves through filter and map operations without creating intermediate arrays.

USE CASE 4

Replace Underscore or Lodash in a performance-sensitive chain with minimal code changes due to API parity.

Tech stack

JavaScript

Getting it running

Difficulty · easy Time to first run · 5min
License not mentioned in the explanation, check the repository for terms.

In plain English

Lazy.js is a JavaScript utility library for working with arrays and collections. It is designed for developers who want clean, readable code that also runs efficiently. Traditional libraries like Underscore and Lodash process each step in a chain immediately, creating temporary arrays at every stage. If you ask for the first five results from a list of ten thousand items, they do the work on all ten thousand before trimming down to five. Lazy.js takes a different approach. Instead of executing each operation right away and storing intermediate results, it queues the operations into a sequence and only does the actual work when you request output. That means if you need just five matching items, it stops as soon as it finds them rather than scanning the whole dataset. The API is intentionally kept close to Underscore and Lodash, so the syntax will look familiar to anyone who has used those libraries. Every step in a chain looks the same, the difference is under the hood. The library can also generate indefinite sequences, meaning you can describe a potentially endless series of values, such as random numbers or a Fibonacci sequence, and pull only as many results as you need. This is not possible with array-based libraries that require a fixed input collection to start. For browser environments, an optional extension adds support for treating DOM events as sequences. Mouse movement, key presses, and other events can be filtered, mapped, and transformed using the same methods you would use on an array. There is also string processing support, so operations like splitting a large block of text can stop early rather than generating every line or substring upfront. Lazy.js has no external dependencies and can be installed via npm or included directly in a webpage with a script tag. It is aimed at JavaScript developers working with large datasets or repeated operations who want readable functional code without the performance cost of unnecessary intermediate steps.

Copy-paste prompts

Prompt 1
Using Lazy.js, take an array of 100,000 user records, filter by active status, map to email addresses, and return only the first 20 results, show how it avoids scanning the whole array.
Prompt 2
Show me how to create an infinite Fibonacci sequence with Lazy.js and take the first 15 values from it.
Prompt 3
How do I use Lazy.js to treat a stream of mousemove DOM events as a lazy sequence, sample every 100ms, and extract only x/y coordinate pairs?
Prompt 4
Rewrite this Lodash chain using Lazy.js to avoid intermediate arrays: _.chain(data).filter(x => x.active).map(x => x.name).first(5).value()
Prompt 5
Using Lazy.js string support, split a 10MB text file into lines lazily and return only the first line that matches a regex pattern.
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