321–330 of 453 posts
We researched this to death recently and unless you have prior affinity or are saddled with technical debt the time has come to ditch React, Angular and Node for new from scratch development.
- On the frontend, use React with TypeScript. Create React App now makes it dead easy. Just do: npx create-react-app myapp --typescript - Do not use redux until you know React well. You might not need it. If you do need it, use `redux-starter-kit` offered by the core Redux team. - For backend, just use Django (or Rails). Elixir's Phoenix is also very well thought out. - If you use node: express, sequelize. Async/awai…
Storage: Postgresql Backend: Go (no framework, just the standard library) Frontend: Vue Working great so far. A little longer to get things up than using Rails/Django, but the extra speed and control is really nice. Using Go's templating engine to assemble Vue components into HTML tags works well.
The neo4j-graphql integration allows you to drive everything (including the database) from GraphQL type definitions. Resolvers are auto-implemented so no need to write boilerplate CRUD operations just to get your app up.
There’s a starter project here that bundles everything together: https://grandstack.io/docs/getting-started-grand-stack-start...
- On the frontend, use React with TypeScript. Create React App now makes it dead easy. Just do: npx create-react-app myapp --typescript - Do not use redux until you know React well. You might not need it. If you do need it, use `redux-starter-kit` offered by the core Redux team. - For backend, just use Django (or Rails). Elixir's Phoenix is also very well thought out. - If you use node: express, sequelize. Async/awai…
Would recommend Vue as a front end framework. It’s much simpler than the others, and every web dev I spoke to in 2018 recommended learning it. Backend, Flask for smaller stuff, moving up to Django or maybe Go for bigger stuff. Database Postgres. YMMV depending on what you’re doing, but the above is a good bet if you want to make the project accessible to other programmers, and it doesn’t need to quickly scale.
- On the frontend, use React with TypeScript. Create React App now makes it dead easy. Just do: npx create-react-app myapp --typescript - Do not use redux until you know React well. You might not need it. If you do need it, use `redux-starter-kit` offered by the core Redux team. - For backend, just use Django (or Rails). Elixir's Phoenix is also very well thought out. - If you use node: express, sequelize. Async/awai…
We've been following this stalk for quite a while and are super happy with it. But there's huge downside: It's really hard to find Django/ Python engineers - let alone phoenix devs. Right now I'm considering a move to JVM. But the frameworks i've seen are all far behind Django. Any thoughts?
For static websites, https://getstatik.com/ For “dynamic” websites, Mithril ( https://mithril.js.org/ ) and Redux written in Haxe ( https://haxe.org/ ) on the front end with Rocket ( https://rocket.rs/ ) and SQLite on the backend, proxied behind nginx with Let’s Encrypt on the backend. Personal projects hosted on a VM at Linode, company projects hosted on VMs at Google Cloud. It’s a somewhat unique stack but I love i…
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Would recommend Vue as a front end framework. It’s much simpler than the others, and every web dev I spoke to in 2018 recommended learning it. Backend, Flask for smaller stuff, moving up to Django or maybe Go for bigger stuff. Database Postgres. YMMV depending on what you’re doing, but the above is a good bet if you want to make the project accessible to other programmers, and it doesn’t need to quickly scale.
Just my experience, but every comventional web app I've worked on that used Flask ended up recreating a lot what Django does, but in a less standard way that took more time to develop and onboard new people for.
PHP /laravel and react.
Backend: Clojure Datomic Luminus Frontend: ClojureScript Regent Datascript Datsync Some advantages: Immutability down to the database Database reads scale horizontally Impossible SQL injection from reading API Cache TTLs can be set to infinity Can ask for data at any point in time or do speculative writes Same programming language front and back Running queries within loops are performant due to data locality Query r…