runtypes
fp-ts
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runtypes | fp-ts | |
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22 | 97 | |
2,545 | 10,452 | |
0.9% | - | |
5.6 | 7.5 | |
2 months ago | about 1 month ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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runtypes
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When should I use runtime checks (and which runtime checker should I use)?
In terms of which runtime checker I should use. The first tutorial I saw suggested 'Zod', doing a bit more searchign yielded other options such as 'runtypes'.
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An almost religious case for Rust
Runtypes would probably be a better example.
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'The best thing we can do today to JavaScript is to retire it’ Douglas Crockford
this has been solved by several packages, runtypes https://github.com/pelotom/runtypes being my favorite
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How to force a type when importing a JSON file?
I personally like https://github.com/pelotom/runtypes because it bundles your Schema Info and the corresponding Typescript types
- Why doesn’t TypeScript natively do any type checking
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Create d.ts for API response
When I have to deal with data from API calls, I usually use a runtime typing library like Runtypes or Zod to check the responses at the boundary. These libraries can automatically give you TS types (using their static or infer utilities) to use throughout the rest of the project.
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Typing for JSON Payloads
Also runtypes and (as mentioned below) zod.
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How to check that an 'unknown' object has a specific key and that the key is a specific type?
Seconding the recommendation to use a library for this. runtypes and io-ts are two other alternatives.
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Check types at the top level or in each function?
I wouldn't reinvent the wheel: https://github.com/pelotom/runtypes
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Minimal and fast runtime API payload sanitiser and error message handling
What does your library provide that others don't? For example: https://github.com/colinhacks/zodhttps://github.com/hapijs/joihttps://github.com/jquense/yuphttps://github.com/gcanti/io-tshttps://github.com/pelotom/runtypeshttps://github.com/sindresorhus/ow
fp-ts
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From a Lorry Driver to Ruby on Rails Developer at 38
I think it’s great that functional programming is making its way into traditional imperative languages - even JavaScript (I recently came across https://gcanti.github.io/fp-ts/ as a pretty extreme example)
Elixir/Erlang has function-level pattern matching, which I really like. I’ve yet to see it anywhere else, though my understanding is it came from Prolog.
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Type-Safe Printf() in TypeScript
While I certainly agree, I've found that this is often an indication of too-complex an architecture, and a fundamental re-think being necessary. I've had projects that depend on [fp-ts], which end up incredibly generic-heavy, but still make it entirely through a typecheck(not build- typescript's just worse at that than other tools like esbuild) in seconds-at-worse.
Obviously depends on your organization/project/application, but I do like these things as complexity-smells.
[fp-ts]: https://gcanti.github.io/fp-ts/
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Introducing fp-utils a functional utility library for Deno / Node
Unlike more comprehensive functional libraries like fp-ts, each module can be imported and resolved separately. If you just need options, simply add the option module and you're good to go.
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Blog post: graphs and monads with Typescript
While it's quite abstract, I believe it may be useful to those of you who is interested to learn more about functional programming [in Typescript] and also get more intuition on diverse programming ideas. I use fp-ts as a functional programming library there.
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Functional Programming Library for Golang by IBM
The library for TypeScript that this is influenced by is here:
https://github.com/gcanti/fp-ts
Interesting how both languages with this library converge to a similar syntax, due to heavy use of functions.
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Is Scala worth learning in 2023?
Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.
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Application Bootstrapping with fp-ts
fp-ts, a library that caters to functional programming in TypeScript, comes with some micro-abstractions that already solve a few of our needs.
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What are some strategies for ensuring correctness and fewer errors in dynamically typed languages?
Also, don't underestimate how powerful TypeScript can be in capable hands (namely Giulio Canti's). Check out fp-ts, for instance.
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Use Pure Functions to understand functional programming
You are able to type it using function overloads, an example can be found here - link, line 236.
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Error Handling Patterns
looks like more ergonomic/focused version of fp-ts[1]
[1] https://gcanti.github.io/fp-ts/
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
effect - A fully-fledged functional effect system for TypeScript with a rich standard library
typescript-is
ramda - :ram: Practical functional Javascript
io-ts - Runtime type system for IO decoding/encoding
proposal-pattern-matching - Pattern matching syntax for ECMAScript
type-fest - A collection of essential TypeScript types
purescript - A strongly-typed language that compiles to JavaScript
typegraphql-prisma - Prisma generator to emit TypeGraphQL types and CRUD resolvers from your Prisma schema
ts-auto-guard - Generate type guard functions from TypeScript interfaces
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.