serpy
ridiculously fast object serialization (by clarkduvall)
marshmallow
A lightweight library for converting complex objects to and from simple Python datatypes. (by marshmallow-code)
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| serpy | marshmallow | |
|---|---|---|
| 0 | 11 | |
| 942 | 6,680 | |
| - | 0.6% | |
| 0.0 | 8.8 | |
| about 3 years ago | 6 days ago | |
| Python | Python | |
| MIT License | 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.
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.
serpy
Posts with mentions or reviews of serpy.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning serpy yet.
Tracking mentions began in Dec 2020.
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.
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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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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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Strict YAML deserialization in Python with marshmallow
I found a recommendation to use marshmallow to parse dict generated from JSON object. I decided that these cases are the same as mine only uses JSON instead of YAML. And so I tried to use class_schema generator for dataclass schema:
What are some alternatives?
When comparing serpy and marshmallow you can also consider the following projects:
Fast JSON schema for Python - Fast JSON schema validator for Python.
cattrs - Complex custom class converters for attrs.
WTForms - A flexible forms validation and rendering library for Python.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
jsonschema - JSON Schema validation library
Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
hjson-py - Hjson for Python