marshmallow VS PyLD

Compare marshmallow vs PyLD and see what are their differences.

marshmallow

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

PyLD

JSON-LD processor written in Python (by digitalbazaar)
Our great sponsors
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • Scout APM - Truly a developer’s best friend
  • talent.io - Download talent.io’s Tech Salary Report
  • SonarLint - Clean code begins in your IDE with SonarLint
marshmallow PyLD
9 16
6,254 497
0.6% 0.4%
8.2 0.0
5 days ago 3 months ago
Python Python
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 2022-09-25.

PyLD

Posts with mentions or reviews of PyLD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-22.
  • how do i write metadata, and how can i make it cooler?
    2 projects | reddit.com/r/webdev | 22 Sep 2022
  • QWER : Simply Awesome Blog Starter built with SvelteKit and Love
    10 projects | dev.to | 10 Sep 2022
    SEO friendly through meta, Open Graph, Schema, JSON-LD, microformats2.
  • Understanding SEO and Web Vitals for your NextJS site and how to improve them?
    13 projects | dev.to | 1 May 2022
    We can help google search engine understand the content of our site even more by adding structured data with the help of JSON-LD. Google can use the structured data to enable special search features which in turn boost your page rank. You can read more about this here: https://developers.google.com/search/docs/advanced/structured-data/intro-structured-data
  • The Block Protocol
    8 projects | news.ycombinator.com | 27 Jan 2022
    Exactly what I was thinking. The Semantic Web done the heavy lifting of defining general schemas (https://schema.org) and extending JSON (https://json-ld.org) and yet people don't subscribe to it. On the other hand, it has a lot of historical baggage (RDF, old schemas) that maybe a new standard can actually be better
  • What is Structured Data?
    2 projects | dev.to | 29 Oct 2021
    Web pages are an interesting example of both structured and unstructured data. There are specific elements one could look at for certain information like the element or other semantic elements like or . The problem though is that these elements are more like our "address" example earlier - they often contain more than just the strict data we are looking for. A title might have a prefix or suffix of the website's name. An article or section might have many other layers of
    , or any other elements to help form the site's structure. To top it off, the HTML structure can vary wildly from site to site. If you were wanting to extract data from multiple websites, it can get very hard very fast.

    That said, there are a number of ways to embed structured data into web pages. A web page could use Microdata, RDFa, JSON-LD or Open Graph to express structured data. More than that though, a web page can use multiple of these at the same time. Open Graph is commonly used as a method of defining details for a link preview while the others might express more complex data like product pricing or reviews.

    Having standard formats like Microdata or JSON-LD are a good start but only represent the format of the data - we need a common vocabulary so we can understand the data those formats encode. One common vocabulary used is called Schema.org and provides over 700 types including types to describe people, places, products, recipes, reviews, vehicles, movies and medical devices. Using Schema.org for structured data on a website can help search engines provide richer experiences in the search results.

    Summary

    Structured data, through standardising expected properties and value formats, makes the sharing and processing of data easier. Web pages in particular benefit from encoding structured data in their mark-up where it can be used by search engines and other tools.

  • Json-ld spices up the staticness of static site generator
    4 projects | dev.to | 27 Oct 2021
    Json-ld is a linked data format based on json. If you have never heard of json-ld, that's ok. The most important thing to know is that it's just plain old json with a few extra special fields. It's also a w3c standard and you can check out the complete spec. We don't really need to understand the whole spec, we're just interested in the way json-ld can reference other data fragments with a url using the keyword "@id "
  • Schema.org json-ld static site generator
    2 projects | dev.to | 10 Oct 2021
    Sambal natively supports schema.org json-ld as the content model so you can render webpage directly from any schema.org json-ld data. By using the open and well known schema.org vocabularies to structure your content from day one, it saves you the trouble of modeling your own content and later realizing it's not compatible with anyone else's content.
  • Nano.Community Update — SEO ready
    3 projects | reddit.com/r/nanocurrency | 14 May 2021
    what do you recommend? is this the spec that should be used https://json-ld.org/ ?
  • Vue.js SEO without Server Side Rendering
    2 projects | reddit.com/r/vuejs | 31 Mar 2021
    providing explicit clues about the meaning of a page to Google by including structured data on the page. like https://json-ld.org/
  • The common misconception about TypeScript
    6 projects | dev.to | 21 Mar 2021
    Implement dynamic schema validation system and let the front-end fetch infer the schema from the backend and change it's validation flow accordingly, by this way you can avoid changing schema at multiple places. Check [https://json-ld.org/] for a similar analogy.

What are some alternatives?

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

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

serpy - ridiculously fast object serialization

cattrs - Complex custom class converters for attrs.

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

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

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

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