zenstack
zod
zenstack | zod | |
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46 | 290 | |
1,652 | 30,477 | |
7.6% | - | |
9.5 | 9.1 | |
4 days ago | 4 days ago | |
TypeScript | TypeScript | |
MIT License | 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.
zenstack
- Show HN: ZenStack V2 โ RLS alternative with declarative Auth rules in Prisma
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Stories Behind ZenStack V2!
Support for Polymorphic Associations #430
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The Many Ways Not to Build an API
Another strategy is to model access control declaratively and enforce it in the application layer. ZenStack (built above Prisma ORM) and Hasura are good examples of this approach. The following code shows how access policies are defined with ZenStack and how a secured CRUD API can be derived automatically.
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Building an Admin Console With Minimum Code Using React-Admin, Prisma, and Zenstack
ZenStack is a toolkit built above Prisma that adds access control, automatic CRUD web API, etc. It unleashes the ORM's full power for full-stack development.
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How Much Work Does It Take to Build a Programming Language?
We need to have some concrete language to build to help make sense of things. I always felt real-world examples are much more effective than toys, so I'll use the ZModel language that we're building at ZenStack as an example. It's a DSL used to model database tables and access control rules. To keep the post short, I'm going only to use a small set of features to demonstrate. Our goal will be to compile the following code snippet:
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Modeling Authorization in Prisma - No Theory, Just Code
It's assumed that you know the basics of using Prisma. Prisma is an excellent ORM. But it doesn't have a built-in authorization solution. To supplement that, we'll use ZenStack throughout the samples. ZenStack is a toolkit that supercharges Prisma in many ways. One of the features is to provide a declarative way to model authorization. Its modeling language, ZModel, is a superset of Prisma Schema Language, so it should be easily understandable to people familiar with Prisma.
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Tackling Polymorphism in Prisma
[Feature Request] Support for Polymorphic Associations #430
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How to Do Authorization - A Decision Framework: Part 1
ZenStack takes a unique approach and solves the problem at a slightly higher level: the ORM. It is implemented above Prisma ORM and supports a wide variety of databases. It extends Prisma to allow modeling access policies inside the data schema and enforces them at runtime by injecting into Prisma queries.
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Using AI to Generate Database Query Is Cool. But What About Access Control?
If you generate Prisma queries as we do here, you can inject extra filtering conditions into the generated query object. Here's the nice thing: ZenStack can do it automatically for you.
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Is Next.js 13 + RSC a Good Choice? I Built an App Without Client-Side Javascript to Find Out
ZenStack for automatic enforcement of access control. ZenStack is a toolkit that extends Prisma ORM to allow you to model access policies and data schema in one place.
zod
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Simplifying Form Validation with Zod and React Hook Form
[Zod Documentation](https://zod.dev/) [Zod Error Handling](https://zod.dev/ERROR_HANDLING?id=error-handling-in-zod) [React-Hook-Form Documentation](https://react-hook-form.com/get-started) [Hookform Resolvers](https://www.npmjs.com/package/@hookform/resolvers)
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Figma's Journey to TypeScript
This is a very fair comment, and you seem open to understanding why types are useful.
"problems that are due to typing" is a very difficult thing to unpack because types can mean _so_ many things.
Static types are absolutely useless (and, really, a net negative) if you're not using them well.
Types don't help if you don't spend the time modeling with the type system. You can use the type system to your advantage to prevent invalid states from being represented _at all_.
As an example, consider a music player that keeps track of the current song and the current position in the song.
If you model this naively you might do something like: https://gist.github.com/shepherdjerred/d0f57c99bfd69cf9eada4...
In the example above you _are_ using types. It might not be obvious that some of these issues can be solved with stronger types, that is, you might say that "You rarely see problems that are due to typing".
Here's an example where the type system can give you a lot more safety: https://gist.github.com/shepherdjerred/0976bc9d86f0a19a75757...
You'll notice that this kind of safety is pretty limited. If you're going to write a music app, you'll probably need API calls, local storage, URL routes, etc.
TypeScript's typechecking ends at the "boundaries" of the type system, e.g. it cannot automatically typecheck your fetch or localStorage calls return the correct types. If you're casting, you're bypassing the type systems and making it worthless. Runtime type checking libraries like Zod [0] can take care of this for you and are able to typecheck at the boundaries of your app so that the type system can work _extremely_ well.
[0]: https://zod.dev/ note: I mentioned Zod because I like it. There are _many_ similar libraries.
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From Flaky to Flawless: Angular API Response Management with Zod
Zod is an open-source schema declaration and validation library that emphasizes TypeScript. It can refer to any data type, from simple to complex. Zod eliminates duplicative type declarations by inferring static TypeScript types and allows easy composition of complex data structures from simpler ones. It has no dependencies, is compatible with Node.js and modern browsers, and has a concise, chainable interface. Zod is lightweight (8kb when zipped), immutable, with methods returning new instances. It encourages parsing over validation and is not limited to TypeScript but works well with JavaScript as well.
- TypeScript Essentials: Distinguishing Types with Branding
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You canโt run away from runtime errors using TypeScript
Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of "parse, don't validate." It supports coercion in all primitive types.
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Best Next.js Libraries and Tools in 2024
Link: https://zod.dev/
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Popular Libraries For Building Type-safe Web Application APIs
You can check out their documentation here.
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Epic Next JS 14 Tutorial Part 4: How To Handle Login And Authentication in Next.js
You can learn more about Zod on their website here.
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What even is a JSON number?
In JS, it's a good idea anyway to use some JSON parsing library instead of JSON.parse.
With Zod, you can use z.bigint() parser. If you take the "parse any JSON" snippet https://zod.dev/?id=json-type and change z.number() to z.bigint(), it should do what you are looking for.
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Error handling in our form component for the NextAuth CredentialsProvider
We will validate our input using client-side zod. Zod handles TypeScript-first schema validation with static type inference. This means that it will not only validate your fields, it will also set types on validated fields.
What are some alternatives?
supabase - The open source Firebase alternative.
class-validator - Decorator-based property validation for classes.
vercel - Develop. Preview. Ship.
joi - The most powerful data validation library for JS [Moved to: https://github.com/sideway/joi]
react-hook-form - ๐ React Hooks for form state management and validation (Web + React Native)
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Yup - Dead simple Object schema validation
json-api - A specification for building JSON APIs
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
next-auth-example - Example showing how to use NextAuth.js with Next.js
io-ts - Runtime type system for IO decoding/encoding