ts-sql
FrameworkBenchmarks
ts-sql | FrameworkBenchmarks | |
---|---|---|
28 | 366 | |
3,114 | 7,391 | |
0.0% | 0.5% | |
0.0 | 9.8 | |
almost 3 years ago | 2 days ago | |
TypeScript | Java | |
- | GNU General Public License v3.0 or later |
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.
ts-sql
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Type-Safe Printf() in TypeScript
There is an implementation of SQL that operates on a table shaped type, entirely at type level. For your amusement: https://github.com/codemix/ts-sql
There are a bunch of more practical takes that codegen types from your database and generate types for your queries, eg: https://github.com/adelsz/pgtyped
To me the second approach seems much more pragmatic because you don’t need to run a SQL parser in a fairly potato interpreter on every build
- Functions and algorithms implemented purely with TypeScript's type system
- Que opinan de esta forma de actualizar estados complejos en React, creen que es buena practica o tienen una mejor forma?
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How to Sell Elixir Again (2023)
> If I would level criticisms at dialyzer it would be its sometimes difficult to read warnings, it’s speed (despite being multithreaded) and the race conditions in the VS Code plugin (which is looking for extra maintainers – if I had time I would help).
One of the advantages of TypeScript is that VSCode is written in TypeScript, and both VSCode and TypeScript are developed by the same company, so there's a really nice synergy there. I imagine Kotlin users feel the same way using Jetbrains products, and Swift users feel the same way about XCode.
Dialyzer looks interesting, but I can't imagine giving up on the expressiveness of TypeScript. Some of the things you can do with generics, mapped types, intersection types, template literal types, conditional types, and utility types are almost mind boggling. It's difficult to reap all of the benefits of static analysis without some of these advanced type operators. The type manipulation section of the TS manual is really underrated.
Someone for example wrote an SQL parser in TypeScript that requires no runtime code [1]. It can infer the types of an SQL query's result based on an SQL string without any runtime code execution. There was a similar project where someone built a JSON parser entirely using the type system [2]. There's also an ongoing discussion on Github about the the fact that TypeScript's type system appears to be a Turing-complete language with some other cool examples [3]. My point is that the type system is incredibly expressive. You rarely run into an idiom that can't be typed effectively.
[1] https://github.com/codemix/ts-sql
[2] https://twitter.com/buildsghost/status/1301976526603206657
[3] https://github.com/microsoft/TypeScript/issues/14833
- Please use Typescript
- TypeScripting the Technical Interview
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Pls can we go back to traditional languages?
If anyone saw this meme and thought, "damn parsing a type from a SQL query, that looks useful" (as I did), the source appears to be from here.
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Type-Level FizzBuzz
I mean, why stop there? https://github.com/codemix/ts-sql
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HypeScript: Simplified TypeScript's type system in TypeScript's own type system
Which allows for things like this type that implements a simplified SQL query parser checked against a provided 'database' object:
https://github.com/codemix/ts-sql
This project was my go-to "nifty but pointless" example for TS string literal types before this article :)
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Deepkit – High-Performance TypeScript Framework
author of ts-sql[0] here, this looks great (and a way more practical approach!)
[0] https://github.com/codemix/ts-sql
FrameworkBenchmarks
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Why choose async/await over threads?
Neat. Thanks for sharing!
Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].
[1] https://www.techempower.com/benchmarks/
[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...
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Ntex: Powerful, pragmatic, fast framework for composable networking services
ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.
ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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A decent VS Code and Ruby on Rails setup
Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.
It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.
If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.
*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources
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The Erlang Ecosystem [video]
Although that seems to have improved in recent years.
https://www.techempower.com/benchmarks/#hw=ph&test=json§...
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Ruby 3.3
RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.
On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.
https://www.techempower.com/benchmarks
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API: Go, .NET, Rust
Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.
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Rage: Fast web framework compatible with Rails
There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.
And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.
https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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Node.js – v20.8.1
oh what machine? with how many workers? doing what?
search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21
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Strong typing, a hill I'm willing to die on
JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...
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Rust vs Go: A Hands-On Comparison
In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21
Or, at least, they would be after applying optimizations to them.
In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.
What are some alternatives?
slonik - A Node.js PostgreSQL client with runtime and build time type safety, and composable SQL.
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
Paste JSON as Code • quicktype - Xcode extension to paste JSON as Swift, Objective-C, and more
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
pgtyped - pgTyped - Typesafe SQL in TypeScript
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
lean4 - Lean 4 programming language and theorem prover
LiteNetLib - Lite reliable UDP library for Mono and .NET
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
kanel - Generate Typescript types from Postgres
SQLBoiler - Generate a Go ORM tailored to your database schema.