sum-types
fp-ts
sum-types | fp-ts | |
---|---|---|
8 | 97 | |
42 | 10,493 | |
- | - | |
5.9 | 7.0 | |
3 months ago | about 1 month ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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sum-types
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Either type
I entirely agree about using symbols. sum-types does that.
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Question about error handling in Typescript
With fp-ts and sum-types you'd handle this functionally like so:
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type .kind checks vs. class instanceof checks
If you're looking to have discriminated unions like Rust, follow that section to roll your own or look for a library that's already implemented them. fp-ts has everything under the sun in a Haskell style, neverthrow has Rust-like Result and ResultAsync, and sum-types helps with the boilerplate of defining your own sum types.
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Is there a more graceful way to create dependencies between object key settings?
I'd suggest sum-types. Instead of unsafe user-defined type guards you get safe pattern matching.
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Best way to store persistent texts?
If you wanted to lean (more) into FP you could replace the Event type and buildPopup function with a sum type and pattern match respectively, as well as represent side effects like in popup with fp-ts' IO, make use of function composition, etc. The former in particular is great for readability:
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Is there any known way to measure coverage of... types?
You can test types, at least in terms of asserting happy path types and whether a piece of code, runtime or purely type-level, should trigger a tsc type error. Here's an example using eslint-plugin-expect-type.
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Has the unsoundness (will explain in the post) actually become a pitfall in practice?
Anywhere that overloads are needed will rely upon type assertions or the unsafety implicit in overloads, for example in fp-ts/function::pipe. It'll come up a lot with objects too when there isn't a preexisting primitive you can compose atop of, as in for example fp-ts-std/Record::pick. Something as generic as @unsplash/sum-types has assertions all over the place, though to be fair that's mostly again a case of struggles interacting with object types.
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How to handle "mutable state" in a pure functional way
You might like @unsplash/sum-types also.
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?
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
effect - An ecosystem of tools to build robust applications in TypeScript.
immutable-js - Immutable persistent data collections for Javascript which increase efficiency and simplicity.
ramda - :ram: Practical functional Javascript
tsd - Check TypeScript type definitions
proposal-pattern-matching - Pattern matching syntax for ECMAScript
nominal - Powerful nominal types for your Typescript project
purescript - A strongly-typed language that compiles to JavaScript
mori - ClojureScript's persistent data structures and supporting API from the comfort of vanilla JavaScript
io-ts - Runtime type system for IO decoding/encoding
eslint-plugin-expect-type - ESLint plugin with ^? Twoslash, $ExpectError, and $ExpectType type assertions. 🧩