jsonschema
Fast JSON schema for Python
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jsonschema | Fast JSON schema for Python | |
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4 | 1 | |
4,431 | 431 | |
1.2% | - | |
8.8 | 5.8 | |
8 days ago | about 2 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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jsonschema
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Forced to move away from Django template because of nested forms ?
Forms are hard. We use python jsonschema to write our form schemas and validation and use react json schema form for the front end. It's a long time in the making and we still have to write widgets and extensions to get everything we need. Good luck.
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I wrote okjson - A fast, simple, and pythonic JSON Schema Validator
I had a requirement to process and validate large payloads of JSON concurrently for a web service, initially I implemented it using jsonschema and fastjsonschema but I found the whole JSON Schema Specification to be confusing at times and on top of that wanted better performance. Albeit there are ways to compile/cache the schema, I wanted to move away from the schema specification so I wrote a validation library inspired by the design of tiangolo/sqlmodel (type hints) to solve this problem easier.
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Validating a YAML file
This is a hard problem, because, if I understand you correctly, you issue is that you are using something like this: https://github.com/Julian/jsonschema, but want to make the error messages more specific. That means you will need to understand the package sufficiently to find out where it is encountering issues and then provide a more human readable error. Definitely doable, but the first piece, understanding the package enough to revise the messages is difficult.
- Simple method for JSON body minimum required keys checking
Fast JSON schema for Python
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I wrote okjson - A fast, simple, and pythonic JSON Schema Validator
I had a requirement to process and validate large payloads of JSON concurrently for a web service, initially I implemented it using jsonschema and fastjsonschema but I found the whole JSON Schema Specification to be confusing at times and on top of that wanted better performance. Albeit there are ways to compile/cache the schema, I wanted to move away from the schema specification so I wrote a validation library inspired by the design of tiangolo/sqlmodel (type hints) to solve this problem easier.
What are some alternatives?
Cerberus - Lightweight, extensible data validation library for Python
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
schema - Schema validation just got Pythonic
jsonschema - JSON Schema validation library
voluptuous - CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
cattrs - Composable custom class converters for attrs.
Schematics - Python Data Structures for Humans™.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
colander - A serialization/deserialization/validation library for strings, mappings and lists.
serpy - ridiculously fast object serialization
pandera - A light-weight, flexible, and expressive statistical data testing library
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)