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Any thoughts on Inertia.js, which seems like a good solution for React + Rails? Feels like you can have your cake and eat it too.
https://github.com/inertiajs/inertia-rails
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SurveyJS
JavaScript Form Builder with No-Code UI & Built-In JSON Schema Editor. Keep full control over the data you collect and tailor the form builder’s entire look and feel to your users’ needs. SurveyJS works with React, Angular, Vue 3, and is compatible with any backend or auth system. Learn more.
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If we were keeping in the JS ecosystem, there’s Redwood [0] which has around a while.
[0] https://redwoodjs.com/
not comparable to Rails or Django’s definition of “a while” but it’s quite mature.
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ckeditor5-rails
🚀 CKEditor 5 Ruby Gem – a powerful WYSIWYG editor for Rails! Smooth integration with web components and helper methods. 💎 Supports GPL & commercial licenses, flexible CDN options, and translations. 🎨 Easy setup with presets, plugins, and async loading. ⚡
One of the biggest issues is that newer tools often lack Rails integrations. I recently built one for CKEditor - happy to share details if anyone's interested.
https://github.com/Mati365/ckeditor5-rails?tab=readme-ov-fil...
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Ruby on Rails has an amazing DX (e.g. engines). We are trying to recreate that for JS with Wasp (https://github.com/wasp-lang/wasp)
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Nest
A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
Ok, you're right.
I was referring to the usual ones (Next, Nuxt, SvelteKit, Remix, etc).
Joytick looks cool. Besides this there's also NestJS
https://nestjs.com/
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Do you mean Ruby lacks syntactic support for adding type annotations inline in your programs?
I am one of the authors of RDL (https://github.com/tupl-tufts/rdl) a research project that looked at type systems for Ruby before it became mainstream. We went for strings that looked nice, but were parsed into a type signature. Sorbet, on the other hand, uses Ruby values in a DSL to define types. We were of the impression that many of our core ideas were absorbed by other projects and Sorbet and RBS has pretty much mainstream. What is missing to get usable gradual types in Ruby?
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causeway
Use Apache Causeway™ to rapidly develop domain-driven apps or modular monoliths in Java, on top of the Spring Boot platform. Write your business logic in entities, domain services or view models, and the framework dynamically generates a representation of that domain model as a webapp, GraphQL or RESTful API. For prototyping or production.
For JVM, Apache Causeway provides similar capabilities (in fact, even more abstracted than RonR). Full disclosure: I'm a committee on that project.
https://causeway.apache.org
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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To add to what others mentioned, there’s also https://github.com/livebook-dev/pythonx which embeds a Python interpreter into your elixir program.
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Loco is worth keeping an eye on for Rust: https://loco.rs/
The Go community is more framework-averse, preferring to build things around the standard library and generally avoid third-party dependencies. Go also tends to be used more for backends, services and infrastructure and less for fullstack websites than Ruby/Python/PHP/C#.
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Or if you want more Next.JS like, but still fullstack framework there is https://leptos.dev/ and https://dioxuslabs.com/. Maybe dioxus being much more ambitious in its scope (not just web).
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Or if you want more Next.JS like, but still fullstack framework there is https://leptos.dev/ and https://dioxuslabs.com/. Maybe dioxus being much more ambitious in its scope (not just web).
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If you want something more similar to Next.JS but in the python world, now you have https://fastht.ml/, which also has a big performance benefit over Django. Hahaha, same as Next.JS over Rails, because it is much more bare bones. But I would say that fasthtml has the advantage of being super easy to integrate more AI libraries from the python world.
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If you're willing to go the meta programming route, Rust is pretty flexible too. You can literally run python inline using macros.[1]
In my experience as someone that has been using Rust for a few years (and enjoys writing Rust) the biggest issue regarding adoption is that async Rust just isn't there yet when it comes to user experience.[2]
It works fine if you don't deviate from the simple stuff, but once you need to start writing your own Futures or custom locks it gets to a point that you REALLY need to understand Rust and its challenging type system.
[1] - https://github.com/m-ou-se/inline-python
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closed.
GPTZero seems to be better than some of the alternatives, but other discussions here on HN when it was launched highlight all of the false positives and false negatives it yielded:
https://news.ycombinator.com/item?id=34556681
https://news.ycombinator.com/item?id=34859348
But all of that is pretty old, there have been a couple of posts in the last year about it, but both are about the business, rather than the quality of the tool itself.
https://hn.algolia.com/?dateRange=pastYear&page=0&prefix=fal...
So, to check if now it's any better I tried it myself: I got it to yield a false negative (50% human and 50% AI rating, for a text which was wholly AI-generated), and I haven't got it to yield a false positive.
But all of this is just anecdotal evidence, I haven't run a rigorous study.
For sure, if some competent people believe that the tool won't generate false positives, I'll be mindful of it and (In the rare cases in which I write a long posts/blog articles, etc.) I'll check that it doesn't erroneously flag what I write.
It's bittersweet: if a tool that can be relied upon really exist, that would be good news. But if that tool is closed source (just like ChatGPT, Gemini, etc.) that doesn't inspire confidence. What if the closed source detection tool will suddenly start erroneously flagging a subset of human texts which it didn't before?
At least, even with the closed source LLMs, we have a bunch of papers that explain their mechanism. I hope that GPTZero will be more forthcoming about the way it works.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
