pySHACL VS marshmallow

Compare pySHACL vs marshmallow and see what are their differences.

marshmallow

A lightweight library for converting complex objects to and from simple Python datatypes. (by marshmallow-code)
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pySHACL marshmallow
1 11
240 6,938
1.7% 0.3%
7.7 8.7
10 days ago 2 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

pySHACL

Posts with mentions or reviews of pySHACL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.
  • Python tools for the semantic web
    3 projects | dev.to | 15 Feb 2021
    pySHACL is a pure Python module which allows for the validation of RDF graphs against Shapes Constraint Language (SHACL) graphs. It is built on top of rdflib.

marshmallow

Posts with mentions or reviews of marshmallow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-25.
  • Help making draggable items for Flask app.
    1 project | /r/flask | 21 Aug 2023
    Somehow get a serializer going for your database models. I used marshmallow and flask-marshmallow
  • Faster time-to-market with API-first
    12 projects | dev.to | 25 Oct 2022
    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.
  • What's best library for swagger + flask?
    6 projects | /r/Python | 25 Sep 2022
    I also came across things like Marsmallow and Blueprints, but don't know what these are, still reading about this as I write.
  • 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.
  • Yet another object serialization framework!
    2 projects | /r/Python | 5 Sep 2022
    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.
  • How to implement conditional model
    1 project | /r/flask | 6 Jul 2022
    Either using meta programming: https://github.com/marshmallow-code/marshmallow/issues/585
  • Should I use SQLAlchemy for a side project?
    2 projects | /r/Python | 15 Jun 2022
    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
  • The Pocket Guide To API Request Validation You Wish You Had Earlier
    2 projects | dev.to | 6 Jan 2022
    Marshmallow
  • Project Althaia - looking for performance/accuracy feedback on my shallow fork of marshmallow
    2 projects | /r/Python | 3 Jan 2022
    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.
  • What's the fastest way to parse JSON to output?
    1 project | /r/flask | 21 Feb 2021
    I was looking at https://github.com/marshmallow-code/marshmallow That's a nice library to use to parsing?

What are some alternatives?

When comparing pySHACL and marshmallow you can also consider the following projects:

Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.

Fast JSON schema for Python - Fast JSON schema validator for Python.

PyValico - Small python wrapper around https://github.com/rustless/valico

cattrs - Composable custom class converters for attrs, dataclasses and friends.

lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)

serpy - ridiculously fast object serialization

WTForms - A flexible forms validation and rendering library for Python.

jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON

jsonschema - JSON Schema validation library

pysimdjson - Python bindings for the simdjson project.

ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings

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