jsonschema
Fast JSON schema for Python
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| jsonschema | Fast JSON schema for Python | |
|---|---|---|
| 3 | 1 | |
| 447 | 431 | |
| - | - | |
| 7.5 | 5.8 | |
| 3 days ago | about 2 months ago | |
| Rust | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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jsonschema
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web service framework and OpenAPI spec
Checkout this crate https://crates.io/crates/jsonschema
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Show HN: Pg_jsonschema – A Postgres extension for JSON validation
The `jsonschema` crate author here.
First of all, this is an exciting use case, I didn't even anticipate it when started `jsonschema` (it was my excuse to play with Rust). I am extremely pleased to see such a Postgres extension :)
At the moment it supports Drafts 4, 6, and 7 + partially supports Draft 2019-09 and 2020-12. It would be really cool if we can collaborate on finishing support for these partially supported drafts! What do you think?
If you'll have any bug reports on the validation part, feel free to report them to our issue tracker - https://github.com/Stranger6667/jsonschema-rs/issues.
Re: performance - there are a couple of tricks I've been working on, so if anybody is interested in speeding this up, feel free to join here - https://github.com/Stranger6667/jsonschema-rs/pull/373
P.S. As for the "Prior Art" section, I think that https://github.com/jefbarn/pgx_json_schema should be mentioned there, as it is also based on `pgx` and `jsonschema`.
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Need help: Faster JSON Schema validation in Rust
I've been working on rewriting my jsonschema crate for a while and now I want to ask for help as I don't have much bandwidth to work on it. Here is a WIP pull request with things I have so far:
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?
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
cattrs - Composable custom class converters for attrs.
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
serpy - ridiculously fast object serialization
PyValico - Small python wrapper around https://github.com/rustless/valico
cargonauts - A Rust web framework
python-rapidjson - Python wrapper around rapidjson