jsonschema
cattrs
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| jsonschema | cattrs | |
|---|---|---|
| 3 | 7 | |
| 394 | 690 | |
| - | 4.1% | |
| 0.0 | 0.0 | |
| 10 days ago | 3 days ago | |
| Rust | Python | |
| MIT License | MIT License |
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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.
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`.
cattrs
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Writing Python like it’s Rust
I'd suggest you look at my cattrs (https://catt.rs) library as a good serde lookalike in Python (sum type support present and getting better), and to use attrs instead of dataclasses in general.
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Starlite updates March '22 | 2.0 is coming
Pydantic is by far not the only library of its kind, with prominent members of the same class being attrs, cattrs or even plain dataclasses for some use cases.
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apischema v0.17 - I've developed the fastest typed JSON (de)serialization library, and you can also build your GraphQL schema with it
This month, I've released version 0.17, and it's now blazing fast; there is in fact no more comparison with Pydantic, which more than 5x slower (up to 30x in serialization). It's also faster than alternatives like mashumaro or cattrs. (See the quick benchmark result in documentation, and the code)
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I use attrs instead of pydantic
```
Cattrs has some problems with generics [1] [2]. Dacite and marshmallow-dataclasses don't support generics well either, with some issues around Union types.
They do work well for simple python types but what I'd like to see is guarantee that the serialisation operation is completely reversible and if not raise warning/exception.
What are some alternatives?
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
Fast JSON schema for Python - Fast JSON schema validator for Python.
pydantic - Data validation using Python type hints
serpy - ridiculously fast object serialization
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
mashumaro - Fast and well tested serialization library on top of dataclasses
PyValico - Small python wrapper around https://github.com/rustless/valico