jsonschema
understanding-json-schema
| jsonschema | understanding-json-schema | |
|---|---|---|
| 4 | 1 | |
| 4,432 | 1,528 | |
| 0.5% | - | |
| 8.8 | 10.0 | |
| 8 days ago | 6 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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
understanding-json-schema
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Psst, three good open-source opportunities. (JSON schema)
You will have to research their GitHub repo, Slack channel, and website. Make a pull request and offer to write. An engineer will contact you soon and start you off.
What are some alternatives?
Cerberus - Lightweight, extensible data validation library for Python
pydantic - Data validation using Python type hints
schema - Schema validation just got Pythonic
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
voluptuous - CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
Schematics - Python Data Structures for Humans™.
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
colander - A serialization/deserialization/validation library for strings, mappings and lists.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
pandera - A light-weight, flexible, and expressive statistical data testing library
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.