fast-check
falso
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fast-check | falso | |
---|---|---|
21 | 13 | |
4,090 | 3,110 | |
- | 1.2% | |
9.8 | 7.1 | |
5 days ago | about 2 months ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fast-check
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The 5 principles of Unit Testing
Libraries like JSVerify or Fast-Check offer essential tools to facilitate property-based testing.
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How to Survive Your Project's First 100k Lines
Strong agree!
For JavaScript, I suggest folks check out fast-check [0] and this introduction to property-based testing that uses fast-check [1].
This is broadly useful, but one specific place I've found it helpful was to check redux reducers against generated lists of actions to find unchecked edge cases and data assumptions.
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Master property-based testing in JavaScript: A step-by-step tutorial
Brilliant, this is a massive improvement. Previously I was fumbling around in https://github.com/dubzzz/fast-check/tree/main/packages/fast-check/documentation for info.
- Bring the power of property based testing framework fast-check into Vitest
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[AskJS] Should I be generating random data for parameters when unit testing?
There's a library for exactly that: FastCheck.
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Integrate Jest and fast-check together
It makes @fast-check/jest, the best option to integrate Jest and fast-check, as it provides an abstraction over both to ease their mutual integration.
- I Created an API to Generate Mock Information
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Generating dummy entities with random data for tests based on types
The closest that I know of (and I have not used this) is zod-fast-check. It generates fast-check “arbitraries” (test data generators) for property-based testing based on zod schemas. Of course, this requires that you use zod to define your types, which has some downsides. Fortunately there is another tool, ts-to-zod, (which I also have not used) which will codegen zod schemas based on TS type definitions. If you thread these four libraries together you should end up with the ability to write random tests on generated data with very little overhead. In theory.
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Best practice where to test validation?
For something like this, I might break out fast-check for testing. It’s good at generating a wide range of values for a given type, and could help you get good test coverage without having to hand-author a lot of repetitive error inputs.
- Fast-check: How it works
falso
- I Created an API to Generate Mock Information
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An alternative API mocking library for frontend developers
Fake data: http-request-mock has integrated with @ngneat/falso, you can easily generate massive amounts of fake data.
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MongoDB Shell tips and tricks
Sometimes, you just want to generate large volumes of synthetic data for development and testing. One great module that helps with this is Falso.
- Falso – All the Fake Data for All Your Real Needs
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Thank you, Faker. Now it’s Time to Move On.
TL;DR — Falso is a modern, tree-shakeable, well-documented replacement for Faker.js
- Falso v2 is out - A modern, tree-shakable replacement for Faker.js
- A new modern and tree-shakeable version of Faker.js
What are some alternatives?
Unexpected - Unexpected - the extensible BDD assertion toolkit
faker - Generate massive amounts of fake data in the browser and node.js
jest - Delightful JavaScript Testing.
chance.js - Chance - Random generator helper for JavaScript
tape - tap-producing test harness for node and browsers
typeorm-seeding - 🌱 A delightful way to seed test data into your database.
trevor - 🚦 Your own mini Travis CI to run tests locally
community-faker - Generate massive amounts of fake contextual data
test-each - 🤖 Repeat tests. Repeat tests. Repeat tests.
mongosh-snippets - An experimental plugin feature for mongosh
nyc - the Istanbul command line interface
mongosh-docker - Unofficial dockerized MongoDB Shell