Ease of Use
Quicktype provides an intuitive interface that allows users to easily generate code for data models from JSON, making it accessible even for those with minimal coding experience.
Multi-Language Support
Quicktype supports multiple programming languages, allowing developers to generate code in their preferred language, enhancing versatility and convenience.
Time Efficiency
By automating the creation of data models, Quicktype saves valuable time for developers, enabling faster project development and iteration.
Accuracy
Quicktype generates highly accurate data models that closely match the structure and data types of the input JSON, reducing the likelihood of errors.
Customization
Users can customize the generated code to fit their specific needs, allowing for flexible integration into existing projects.
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Check the traffic stats of quicktype on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about quicktype on Reddit. This can help you find out how popualr the product is and what people think about it.
Every time I get a new API endpoint, I do the same small dance: look at a response, eyeball the shape, write a TypeScript interface, copy-paste it into the codebase. Quicktype exists and is excellent โ but it's also a multi-language beast with a web app that's heavier than I need for this one job. - Source: dev.to / about 1 month ago
Neat! I have experimented with various ways to convert Go structs to/from TypeScript interfaces. - https://quicktype.io/ - https://github.com/danielgtaylor/huma then OpenAPI -> TS - https://github.com/gzuidhof/tygo - https://github.com/coder/guts guts also does some AST stuff. It seems like this project could help with this and then some. - Source: Hacker News / 4 months ago
- JSON Schema is well supported in LLMs (for example, with structured output or vibe coding). [1] https://quicktype.io/. - Source: Hacker News / 6 months ago
QuickType.io - Quickly auto-generate models/class/type/interface and serializers from JSON, schema, and GraphQL for working with data quickly & safely in any programming language. Convert JSON into gorgeous, typesafe code in any language. - Source: dev.to / over 2 years ago
Quicktype automates the generation of code from JSON data. It's a real timesaver when dealing with complex JSON structures in your applications. - Source: dev.to / over 2 years ago
Nice! JSON schemas are really useful, we use them a lot for code generation. Another library that does this for multiple languages is https://quicktype.io/ . It's great, but not so actively developed. - Source: Hacker News / over 2 years ago
Quicktype is a speedy way to transform JSON data into well-structured, type-safe code in any programming language. Can help simplify the process of generating models and serializers from JSON, schema, or GraphQLโfor secure, efficient data handling. 6-20PM finds it a "Godsend to convert JSON into data structures in any language.". Source: over 2 years ago
Good candidate modules for these initial conversions are utility functions and code related to external APIs or specifications. It is possible to automatically generate TypeScript type definitions from Swagger contracts, GraphQL or JSON schemas to be included in your project. As well as you can use website called https://quicktype.io/ to generate types and interfaces in order to user them in your tsx or ts file. - Source: dev.to / almost 3 years ago
Using Codable structs is better than dictionaries. Paste the JSON into https://quicktype.io/ and it will create the structs for you. Source: almost 3 years ago
Check out quicktype.io. You can paste in your JSON and it will build your model for you. There's even an option for creating constructors. And you can choose your programming language. I usually spend some time cleaning it up a bit. It's not the perfect solution and I don't use it all the time, but it sure saves time for complicated models. Source: about 3 years ago
Hello. I used quicktype.io to try and implement an api in my code. Source: about 3 years ago
I would to build models in a dynamic way - for now, I'm using https://quicktype.io/ to convert json to model in a semi-manual way. It would be great, to have the possibility to generate models in a fully automated style - json is coming, and model files are generated. Source: about 3 years ago
You already have the answer, but in the future https://quicktype.io/ is a great reference for JSON/Swift decoding. Source: about 3 years ago
Seems like date handling or decimal point differences are the most likely causes. I would paste your JSON into https://quicktype.io and see if the Swift code they spit out works under other languages. Source: over 3 years ago
I actually worked in a company that used this, my work involved doing the frontend with nextjs, so basically Iโd use https://quicktype.io to create the types for the api written in Django, not the best process considering that thereโs this amazing library called tRPC that merges front and back altogether end to end type safe. Source: over 3 years ago
The first step is to take the raw json result and paste it into https://quicktype.io/ to generate structs. Source: over 3 years ago
I always use https://quicktype.io/. Source: over 3 years ago
QuickType.io - Quickly auto generate models/class/type/interface and serializers from JSON, schema, and GraphQL for working with data quickly & safely in any programming language. Convert JSON into gorgeous, typesafe code in any language. - Source: dev.to / over 3 years ago
Take the JSON, paste it into https://quicktype.io, and it will generate Swift structs for you. Source: over 3 years ago
If it was bigger I probably would have used one of the many tools to generate a schema and then generate a Rust struct. Offhand, quicktype is one I've used before. Source: almost 4 years ago
For those unfamiliar with what it is โ quicktype.io is a website that offers a way to convert your JSON structure into swift structs. Source: almost 4 years ago
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