cattrs
PyLD
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| cattrs | PyLD | |
|---|---|---|
| 7 | 28 | |
| 755 | 577 | |
| 2.0% | 1.2% | |
| 8.9 | 5.2 | |
| 4 days ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
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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Noob question on saving objects in YAML files
That being said, data serialization is a very common thing to do, so naturally there are tons of libraries that automate it for you. Personally, using dataclasses and cattrs is my goto way for doing such things.
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Taking JSON input for "posts", "tags" etc. How to escape '\' charecter or detect carefully?
I'm fond of attrs and cattrs myself, attrs make creating data classes a snap, writing all of the stupid code python requires to have a dataclass. Note the new built in dataclass is actually a limited copy of attrs. https://www.attrs.org/en/stable/ and https://github.com/python-attrs/cattrs
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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)
- cattrs – an open source Python library for structuring and unstructuring data
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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.
PyLD
- I Wrote an Activitypub Server in OCaml: Lessons Learnt, Weekends Lost
- JSON for Linking Data
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I'm currently in the interview process for a Jr. Full Stack Developer position, and I was given this take-home test that has me on the verge of pulling my hair out.
3) Things I would need to refresh: JSON-LD (This is actually really useful): https://json-ld.org/
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The need for a more semantic web
Some documentation for you OP: - RDFa. - JSON-LD doesn't have to be in HTML. It's just a specification built on JSON to represent RDF data. Also, from experience, Turtle) is more popular - If you want to dig into what defining semantic vocabularies (ontologies) entails, read on RDF, RDFS, and OWL2.
- Making SEO better for blog posts with Structured Data
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Beginners Guide to Yoast SEO 2023
Schema markup can be added to a web page using the JSON-LD format, which is a structured data format that is supported by Yoast SEO.
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Getting Started with ActivityPub
It's a big long, so the response is at the bottom in Appendix A. The format is JSON for Linking Data, or JSON-LD.
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schema-org-java: Java library for working with Schema.org data in JSON-LD format
So it can be tedious to create all the entities needed for your project and then serialize / deserialize the data in JSON-LD format.
What are some alternatives?
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
pydantic - Data validation using Python type hints
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
Fast JSON schema for Python - Fast JSON schema validator for Python.
serpy - ridiculously fast object serialization
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
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)
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON