marshmallow VS ultrajson

Compare marshmallow vs ultrajson and see what are their differences.

marshmallow

A lightweight library for converting complex objects to and from simple Python datatypes. (by marshmallow-code)

ultrajson

Ultra fast JSON decoder and encoder written in C with Python bindings (by ultrajson)
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marshmallow ultrajson
11 5
7,150 4,413
0.2% 0.5%
9.4 7.5
12 days ago 6 days ago
Python C
MIT License GNU General Public License v3.0 or later
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.

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?

ultrajson

Posts with mentions or reviews of ultrajson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-01-03.
  • Ultimate Guide to JSON Parsing in Python
    3 projects | dev.to | 3 Jan 2025
    So json is reliable and powerful though not as fast as some other community json libraries like ujson or orjson which are further optimized for speed.
  • orjson: Fast, correct Python JSON lib supporting dataclasses, datetimes, NumPy
    2 projects | news.ycombinator.com | 20 Aug 2024
    Written in Rust!

    TIL ujson is basically deprecated and they recommend switching to orjson https://github.com/ultrajson/ultrajson

    > UltraJSON's architecture is fundamentally ill-suited to making changes without risk of introducing new security vulnerabilities. As a result, this library has been put into a maintenance-only mode. Support for new Python versions will be added and critical bugs and security issues will still be fixed but all other changes will be rejected. Users are encouraged to migrate to orjson which is both much faster and less likely to introduce a surprise buffer overflow vulnerability in the future.

  • Processing JSON 2.5x faster than simdjson with msgspec
    5 projects | /r/Python | 3 Oct 2022
    ujson
  • Benchmarking Python JSON serializers - json vs ujson vs orjson
    2 projects | dev.to | 25 May 2022
    For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson
  • The fastest tool for querying large JSON files is written in Python (benchmark)
    16 projects | news.ycombinator.com | 12 Apr 2022
    I asked about this on the Github issue regarding these benchmarks as well.

    I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?

    [0] https://github.com/ultrajson/ultrajson

What are some alternatives?

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

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

python-rapidjson - Python wrapper around rapidjson

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

serpy - ridiculously fast object serialization

RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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