ts-sql
prisma-examples
ts-sql | prisma-examples | |
---|---|---|
28 | 53 | |
3,114 | 5,841 | |
0.0% | 1.0% | |
0.0 | 9.9 | |
almost 3 years ago | 3 days ago | |
TypeScript | TypeScript | |
- | 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.
ts-sql
-
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?
-
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
-
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.
-
Type-Level FizzBuzz
I mean, why stop there? https://github.com/codemix/ts-sql
-
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 :)
-
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
prisma-examples
-
Implementing vector search with OpenAI, Next.js, and Supabase
The usefulness of vector search is already evident by the rate of generative AI adoption. Almost every mainstream documentation site now has an Ask AI button, including Supabase, Netlify, Prisma, and many more.
-
Next.js 14 Booking App with Live Data Scraping using Scraping Browser
Prisma
-
Building a Secure RESTful API Using NestJS and Prisma With Minimum Code
We'll use a simple blogging app as an example through out this article. Our work will be based on the NestJS + Prisma starter project here. You can also create a new project from it with a one liner:
- Web development feels daunting – What am I doing wrong?
-
Ask HN: What is the best product documentation you’ve ever seen?
Prisma's docs[0] are one of the best I've read
[0] https://www.prisma.io/docs
- Next-auth - use Accounts table just for access_token to call OAuth APIs without registering new Users?
-
Generador de codigo para api graphql?
Quiero algo de este estilo: https://github.com/prisma/prisma-examples/tree/latest/typescript/graphql-nexus
-
ORM, Prisma, and How You Should Build Your Next Backend Database Project
Prisma is a package that invites new users. It is well-documented and well-suited for your first or 50th Node project. Their documentation contains comprehensive information on the features available. You can also access several guides, including introductory "how-tos," steps for deploying applications that use Prisma, and instructions on migrating from another ORM. The guides are thorough, up-to-date, and easy to follow. In addition, Prisma's team has made sure your experience using their ORM is as painless as possible.
-
SQL Versus NoSQL Databases: Which to Use, When, and Why
And that's how we can use a Node.js library like Prisma to work with NoSQL and SQL databases. Prisma's documentation page gives further details about this process.
-
Seeding your database with Prisma ORM
We will follow the documentation to get started with Prisma. You can read and also take a reference to the documentation.
What are some alternatives?
slonik - A Node.js PostgreSQL client with runtime and build time type safety, and composable SQL.
benchmark - MikroORM vs TypeORM benchmark of CRUD operations on 10k entities
Paste JSON as Code • quicktype - Xcode extension to paste JSON as Swift, Objective-C, and more
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
pgtyped - pgTyped - Typesafe SQL in TypeScript
TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
lean4 - Lean 4 programming language and theorem prover
ledokku - Beautiful web UI for all things Dokku
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
kanel - Generate Typescript types from Postgres
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API