Paste JSON as Code • quicktype
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Paste JSON as Code • quicktype | pytype | |
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64 | 20 | |
1,671 | 4,536 | |
0.1% | 1.0% | |
0.0 | 9.7 | |
about 3 years ago | 3 days ago | |
JavaScript | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
Paste JSON as Code • quicktype
- Python 3.13 Gets a JIT
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10 Lesser-Known Tools and Websites to Spice Up Your Developer Toolbox
Quicktype automates the generation of code from JSON data. It's a real timesaver when dealing with complex JSON structures in your applications.
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Show HN: A tool to Convert JSON schemas into TypeScript classes
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.
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Free Tech Tools and Resources - MAC Lookup, SQL Tutorials, JSON Converter & More
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 GraphQL—for secure, efficient data handling. 6-20PM finds it a "Godsend to convert JSON into data structures in any language."
- JSON Schema Store
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Migration to TypeScript Advice
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.
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Help with json parser
Using Codable structs is better than dictionaries. Paste the JSON into https://quicktype.io/ and it will create the structs for you.
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How can we map data from JSON to typescript object efficiently?
May be quicktype.io?
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Is there a neat way to work with deeply-nested JSON?
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.
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Need Help on API Implementation
Hello. I used quicktype.io to try and implement an api in my code.
pytype
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Enhance Your Project Quality with These Top Python Libraries
Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can catch type errors in your Python code before you even run it.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pyre from Meta, pyright from Microsoft and PyType from Google provide additional assistance. They can 'infer' types based on code flow and existing types within the code.
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Mypy 1.6 Released
we've written a little bit about what pytype does differently here: https://google.github.io/pytype/
our main focus is to be able to work with unannotated and partially-annotated code, and treat it on par with fully annotated code.
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Mypy 1.5 Released
So, I tried out pytype the other day, and it was a not a good experience. It doesn't support PEP 420 (implicit namespace packages), which means you have to litter __init__.py files everywhere, or it will create filename collisions. See https://github.com/google/pytype/issues/198 for more information. I've since started testing out pyre.
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Writing Python like it's Rust
What is the smart money doing for type checking in Python? I've used mypy which seems to work well but is incredibly slow (3-4s to update linting after I change code). I've tried pylance type checking in VS Code, which seems to work well + fast but is less clear and comprehensive than mypy. I've also seen projects like pytype [1] and pyre [2] used by Google/Meta, but people say those tools don't really make sense to use unless you're an engineer for those companies.
Am just curious if mypy is really the best option right now?
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PyMEL's new type stubs
At Luma, we're using mypy to check nearly our entire code-base, including our Maya-related code, thanks to these latest changes. Fully adopting mypy (or an alternative like pytype) is no small feat, but working within a fully type-annotated code base with a type checker to enforce accuracy is like coding in a higher plane of existence: fewer bugs, easier code navigation, faster dev onboarding, easier refactoring, and dramatically increased confidence about every change. I wrote about some deeper insights in these posts.
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The Python Paradox
Check out https://github.com/google/pytype
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Forma: An efficient vector-graphics renderer
i work on https://github.com/google/pytype which is largely developed internally and then pushed to github every few days. the github commits are associated with the team's personal github accounts. pytype is not an "official google product" insofar as the open source version is presented as is without official google support, but it is "production code" in the sense that it is very much used extensively within google.
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Ruff – an fast Python Linter written in Rust
pytype dev here - thanks for the kind words :) whole-program analysis on unannotated or partially-annotated code is our particular focus, but there's surprisingly little dark PLT magic involved; in particular you don't need to be an academic type theory wizard to understand how it works. our developer docs[1] have more info, but at a high level we have an interpreter that virtually executes python bytecode, tracking types where the cpython interpreter would have tracked values.
it's worth exploring some of the other type checkers as well, since they make different tradeoffs - in particular, microsoft's pyright[2] (written in typescript!) can run incrementally within vscode, and tends to add new and experimentally proposed typing PEPs faster than we do.
[1] https://github.com/google/pytype/blob/main/docs/developers/i...
- A Python-compatible statically typed language erg-lang/erg
What are some alternatives?
Swinject - Dependency injection framework for Swift with iOS/macOS/Linux
mypy - Optional static typing for Python
PXGoogleDirections - Google Directions API helper for iOS, written in Swift
pyright - Static Type Checker for Python
EsaKit
pyre-check - Performant type-checking for python.
GooglePlacesAutocomplete - Google Places address entry for iOS (Swift)
pyannotate - Auto-generate PEP-484 annotations
Typhoon - Powerful dependency injection for Objective-C ✨✨ (https://PILGRIM.PH is the pure Swift successor to Typhoon!!)✨✨
pyanalyze - A Python type checker
PredictionIO SDK - PredictionIO iOS / macOS SDK
ruff - An extremely fast Python linter and code formatter, written in Rust.