PyLD
marshmallow
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PyLD | marshmallow | |
---|---|---|
28 | 11 | |
577 | 6,893 | |
1.2% | 0.8% | |
5.2 | 8.7 | |
2 months ago | 3 days ago | |
Python | Python | |
BSD 1-Clause License | MIT 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.
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.
marshmallow
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Help making draggable items for Flask app.
Somehow get a serializer going for your database models. I used marshmallow and flask-marshmallow
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Faster time-to-market with API-first
Uses a robust data validation library: validating payloads is a complex business. Your data validation library must handle optional and required properties, string formats like ISO dates and UUIDs (both dates and UUIDs are string types in OpenAPI), and strict vs loose type validation (should a string pass as an integer if it can be casted?). Also, in the case of Python, you need to make sure 1 and 0 don’t pass for True and False when it comes to boolean properties. In my experience, the best data validation libraries in the Python ecosystem are pydantic and marshmallow. From the above-mentioned libraries, flasgger and flask-smorest work with marshmallow.
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What's best library for swagger + flask?
I also came across things like Marsmallow and Blueprints, but don't know what these are, still reading about this as I write.
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pydantic VS marshmallow - a user suggested alternative
2 projects | 21 Sep 2022
Pydantic is a data validation library, marshmallow is a data validation library. None of the other libraries in the list of pydantic alternatives is a data validation library.
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Yet another object serialization framework!
I have been working on a package that is very similar in concept to marshmallow (https://marshmallow.readthedocs.io), but which adds a versioning mechanism to track changes in object structure across time, allowing you to migrate objects between different versions.
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How to implement conditional model
Either using meta programming: https://github.com/marshmallow-code/marshmallow/issues/585
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Should I use SQLAlchemy for a side project?
You might be surprised how much I agree - I recently opened an issue there hoping to discuss something like this (still awaiting response). https://github.com/marshmallow-code/marshmallow/issues/2000
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The Pocket Guide To API Request Validation You Wish You Had Earlier
Marshmallow
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Project Althaia - looking for performance/accuracy feedback on my shallow fork of marshmallow
I created a shallow fork of everyone's favourite marshmallow, to work around some performance issues while dumping data. The performance gain I measured is around 45%, but since it's a bad idea to rely on one's own testing, I was hoping that there are some folks here who use marshmallow in their projects, and who would be willing to try it out. Doubly so if your project has some unit tests in it, to confirm that nothing is broken due to my patches.
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What's the fastest way to parse JSON to output?
I was looking at https://github.com/marshmallow-code/marshmallow That's a nice library to use to parsing?
What are some alternatives?
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
Fast JSON schema for Python - Fast JSON schema validator for Python.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
cattrs - Composable custom class converters for attrs.
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
serpy - ridiculously fast object serialization
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON
WTForms - A flexible forms validation and rendering library for Python.
jsonschema - JSON Schema validation library
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)