runtypes
gleam
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runtypes | gleam | |
---|---|---|
22 | 95 | |
2,547 | 15,033 | |
0.9% | 60.7% | |
5.6 | 9.9 | |
3 months ago | 3 days ago | |
TypeScript | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
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
gleam
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Release Radar • March 2024 Edition
Want a friendly language for building safe systems at scale? Gleam is here for you. It features modern and familiar syntax, that's reliable and scalable. Gleam runs on an Erlang virtual machine, and can run plenty of concurrent tasks. It comes with a compiler, build tool, formatter, editor integrations, and package manager all built in so you can get started right away. Congrats to the team on shipping your first major version 🙌.
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The Current State of Clojure's Machine Learning Ecosystem
While I love Clojure, I have to agree about tooling. I recently started using Gleam* and was impressed at how easy it was to get up and running with the CLI tool. I think this is an important part of getting people to adopt a language.
* https://gleam.run/
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Show HN: I open-sourced the in-memory PostgreSQL I built at work for E2E tests
If you use languages that compile to WASM (such as Gleam https://gleam.run), and can also run Postgres via WASM, then it opens very interesting offline scenarios with codebases which are similar on both the client and the server, for instance.
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Why the number of Gleam programmers is growing so fast?
Recently, Gleam has gained more popularity, and a lot of developers (including me) are learning it. At the time of this writing, it has exceeded 14k stars on GitHub; it grew really fast for the last month.
- Cranelift code generation comes to Rust
- Gleam v1.0.0
- Gleam has a 1.0 release candidate
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Welcome to the Gleam Language Tour
Oh, strange that github had a date of 2016 on this one: https://github.com/gleam-lang/gleam/issues/2
I was just going by that, though I do remember checking out gleam 5 years ago or so.
Re: macros, I really do think they’re a big deal and all the other newer languages I’ve used, such as Rust have some kind of macros or powerful meta programming features.
For older languages, a few, like Ruby have enough meta programmability to make nice DSLs, but many others don’t. Given the choice, I’d much rather have Elixir/Clojure style macros than other meta-programming facilities I’ve seen so far.
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Inko Programming Language
I had been only following this language with some interest, I guess this was born in gitlab not sure if the creator(s) still work there. This is what I'd have wanted golang to be (albeit with GC when you do not have clear lifetimes).
But how would you differentiate yourself from https://gleam.run which can leverage the OTP, I'd be more interested if we can adapt Gleam to graalvm isolates so we can leverage the JVM ecosystem.
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Switching to Elixir
I don't think the implementation itself is at fault, but yes, I do think that the design of dialyzer makes it an (at times) faulty type checker. The unfortunate reality of a type checker that fails sometimes is that it makes it mostly useless because you can never trust that it'll do the job.
To be clear, I've had it fail in a function where I've literally specced that very function to return a `binary` but I'm returning an `integer` in one of the cases. This is a very shallow context but it can still fail. Now add more functions, maybe one more `case`.
I think an entire rethink of type checking on the BEAM had to be done and that's why eqWalizer[0] was created and why Elixir is looking to add an actual sound, well-developed type checker. Gleam[1] I would assume is just a Hindley-Milner system so that's completely solid. `purerl`[2] is just PureScript for the BEAM so that's also Hindley-Milner, meaning it's solid. `purerl` has some performance issues caused by it compiling down to closures everywhere but if you can pay that cost it's actually pretty fantastic. With that said my bet for the best statically typed experience right now on the BEAM would be `gleam`.
0 - https://github.com/WhatsApp/eqwalizer
1 - https://gleam.run
2 - https://github.com/purerl/purerl
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
typescript-is
web3.js - Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.
io-ts - Runtime type system for IO decoding/encoding
Rustler - Safe Rust bridge for creating Erlang NIF functions
type-fest - A collection of essential TypeScript types
ponyc - Pony is an open-source, actor-model, capabilities-secure, high performance programming language
typegraphql-prisma - Prisma generator to emit TypeGraphQL types and CRUD resolvers from your Prisma schema
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
ts-auto-guard - Generate type guard functions from TypeScript interfaces
hamler - Haskell-style functional programming language running on Erlang VM.