jsonschema
PyLD
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jsonschema | PyLD | |
---|---|---|
3 | 28 | |
446 | 577 | |
- | 1.2% | |
7.5 | 5.2 | |
10 days ago | 2 months ago | |
Rust | Python | |
MIT License | BSD 1-Clause License |
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.
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:
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?
Fast JSON schema for Python - Fast JSON schema validator for Python.
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
serpy - ridiculously fast object serialization
PyValico - Small python wrapper around https://github.com/rustless/valico
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON