tapir
transit-lang-cmp
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tapir | transit-lang-cmp | |
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14 | 15 | |
1,289 | 421 | |
1.8% | - | |
9.8 | 0.0 | |
about 16 hours ago | 5 months ago | |
Scala | Elixir | |
Apache License 2.0 | MIT License |
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.
tapir
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what library/framework should I use for backend development?
You're not confined to the usual suggestions below (play, http4s). There's a ton of options. (I wrote test cases using a bunch of different frameworks a few years ago at https://github.com/hohonuuli/msdemos). Having written services using a variety of frameworks in production, I would strongly suggest using one that auto-generates API docs (openapi, swagger) for you. That will save you a huge amount of time later on. For heavier services, like the one at https://fathomnet.org/, I tend to the Java side (Quarkus is my current top choice, but Micronaut and Helidon are both great). For everything else I use Scala. My go-to right now is tapir using a vertx backend. See https://tapir.softwaremill.com/
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Micronaut vs others(Spring Boot, Quarkus and co.)
Tapir is a Scala framework. (which runs on the JDK) Since the recent release of version 1.0, it's become my go to for many projects. It doens't provide much in the way of integrations with 3rd party frameworks, but I actually prefer that. It does autogenerate great swagger docs though.
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Programming language comparison by reimplementing the same transit data app
I do wonder where the recommendation to use http4s for beginners came from. http4s is a very capable library (and if you care much about composition it is excellent), but I wouldn't describe the documentation as beginner friendly.
A slightly better starting point for scala 3 + type-safe server building is tapir e.g. https://github.com/softwaremill/tapir/blob/master/examples3/... . With that, you get a declarative definition of your endpoints (+ error types, auth, etc.) that you can use for both servers and clients, which comes very handy when writing integration tests of course.
> absolutely ridiculous the fetishization of extremely complex FP and type-level hacking that goes on in the ecosystem
An alternative way to look at it is that there is a lot of essential domain complexity that gets encoded via the type system to let the compiler do the hard work. That "extremely complex FP" does not arrive out of nowhere - I really recommend at least skimming through the slides from rossabaker, the http4s designer, that motivate where the core type signature comes from https://rossabaker.github.io/boston-http4s/#2
I suppose one of the "features" that I like about the (typelevel) community is that the approach of "worse is better" is not taken, and a lot of effort is expended to make things correct, modular and orthogonal. This has the drawback of increased upfront complexity, that anecdotally pays off the moment your compiler does not error and the program runs as intended.
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Scala.js AWS Lambda, using Scala 3
Did you try tapir? There is a module for deploying aws lambda with Scala js. Not sure whether it is compatible with Scala 3, I am sticking with Scala 2 until Scala 3 gets more mature.
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Library recommendations?
I'm aware, but it's a design decision that was made on purpose, and which I find in practice not a big problem at all.
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Monorepo: seeking for an advice for bi-lang project
Backend is source of truth for types on frontend (backend generated OpenAPI definition with tapir, frontend takes it with orval)
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Experienced dev new to Scala looking for a quick answer to get me on the right track - Advice on *standard* Scala framework stack to quickly set up a web-app backend ;
In all cases I would strongly suggest to have a look at Tapir, regardless of the server implementation that you pick.
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tAPIr 1.0 release [INFOGRAPHIC]
Check the infographic below, to see this tool history, functionalities and more. Make sure, to take tAPIr for a spin here and share your feedback with us in the comment section!
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Scala vs Kotlin for REST API
Tapir is awesome, and you can pick the server backend according to your preferred ecosystem (for instance http4s + doobie, Zio + Quill, Akka + Slick, ...)
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Resources for learning about http4s and Typelevel ecosystem?
Finally I would strongly recommend having a look at Tapir. Even if you don't need to share endpoints or generate OpenAPI documentation, it provides a really neat abstraction on top of http4s.
transit-lang-cmp
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Migrating from Warp to Axum
> The axum::debug_handler macro is invaluable to debug type errors (there's some with axum too), like for example, accidentally having a non-Send type slip in.
Heh, yeah. For my recent project where I explored implementing the same little app in a few different languages[0], I chose Axum for the rust version.
The whole "extractor" system was pretty magical, and when I had this exact issue (non-Send argument), the compiler error was totally useless. I did see the docs about adding this extra macro crate for error messages but it seemed like a bit of a red flag that the framework was going against the grain of the language. Still, on the whole, I did enjoy working with Axum.
[0] https://github.com/losvedir/transit-lang-cmp
- Transit: A Code Comparison
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Programming language comparison by reimplementing the same transit data app
This is great! Just pushed up a commit that uses it and updated the benchmarks[0]. I'm seeing a 1.6X - 2X improvement in overall performance. Not bad for a drop-in replacement. And since it's based on serde, I trust it, and I feel like trying out a different JSON library is within scope for me of not just "gaming the benchmarks", as this is actually something I'd now consider using at work.
It's not quite as high as I was seeing with `jiffy` (3,800 req/sec here vs 4,000+ with jiffy), but I'm not confident that was a totally fair comparison. `jiffy` doesn't integrate as nicely with Phoenix, so I was just calling `:jiffy.encode(...)` in the controller and then doing a `text(...)` response. I need to double-check if `json(...)` is doing more work here.
[0] https://github.com/losvedir/transit-lang-cmp/commit/140d693b...
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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Why is C#/dotnet outperforming rust in my simple benchmarks?
I had a chance to update the Go code (commit) to pre-allocate the arrays based on the known length before all the appends, and saw ~30% increase in performance, with top requests per second going from about 8,600 to 11,000.
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The RedMonk Programming Language Rankings: June 2022
I recently did a little project to compare several languages (https://github.com/losvedir/transit-lang-cmp) so I contributed to a bunch of those points!
- Show HN: An informal comparison of several programming languages
What are some alternatives?
smithy4s - https://disneystreaming.github.io/smithy4s/
scotty - Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp (Official Repository)
http4s-jwt-auth - :lock: Opinionated JWT authentication library for Http4s
plainchant - plainchant - a lightweight and libre imageboard
distage-example - Example project built using distage, tagless final, http4s, doobie and zio
template_rust_web_api
scala-http-client - Extends the akka-http-client with retry logic, error handling, logging and signing
hashbrown - Rust port of Google's SwissTable hash map
pfps-shopping-cart - :shopping_cart: The Shopping Cart application developed in the book "Practical FP in Scala: A hands-on approach"
deno_std - deno standard modules
AkkaGRPC - Akka gRPC
grpc_bench - Various gRPC benchmarks