marshmallow VS jsonic

Compare marshmallow vs jsonic and see what are their differences.

marshmallow

Marshmallow provides a flexible and performant JSON unmarshalling in Go. It specializes in dealing with unstructured struct - when some fields are known and some aren't, with zero performance overhead nor extra coding needed. (by PerimeterX)

jsonic

All you need with JSON (by sinhashubham95)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
marshmallow jsonic
5 -
354 11
3.7% -
3.2 0.0
10 months ago over 3 years ago
Go Go
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.

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 2022-11-27.
  • Why Go is the Future of Backend Development
    1 project | /r/programming | 18 May 2023
    Also, JSON marshaling and unmarshaling may also be an issue. C/C++ are quite varied - I suppose they either use the fields of the JSON as is, or use some ugly-ass macros (u/xkcd-Hyphen-bot, do your thing. It actually fits here), but Go entries would probably used the standard way to do this in Go - the encoding/json package - which needs to read and parse struct field tags at runtime. Does it at least cache the parsed definitions? From the complaints I see about it, I doubt it. Also, there seems to be Marshmallow that can do caching (among other optimizations) and greatly outperforms the build in one. I guess that means the standard library implementation doesn't do it? That would explain why the TechEmpower benchmark entries are so slow - I don't think they use Marshmallow. Marshmallow has less than 300 starts on GitHub, which is far less than what you would expect it to have if it was commonly used.
  • JSON array with two different json objects
    1 project | /r/golang | 27 Mar 2023
    I believe this was one of the reasons for marshmallow being written: https://github.com/PerimeterX/marshmallow The idea to partially unmarshal, inspect the type field, and then make a second pass.
  • Is there a way to parse unstructured data?
    6 projects | /r/golang | 27 Nov 2022
    Try out https://github.com/PerimeterX/marshmallow
  • Help with calling function dynamically based on name
    1 project | /r/golang | 16 Aug 2022
    I think this is what marshmallow was made for: https://github.com/PerimeterX/marshmallow
  • Marshmallow - a JSON unmarshalling library for flexible use cases like some known and some unknown fields, or prevention of data loss
    2 projects | /r/golang | 13 Jul 2022
    Marshmallow is used internally at PerimeterX for some time, and we've recently decided to open-source it and share a blog post about how it helped us trim 70% of our JSON parsing costs in production.

jsonic

Posts with mentions or reviews of jsonic. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning jsonic yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

jsondiff - Compute the diff between two JSON documents as a series of RFC6902 (JSON Patch) operations

fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection

jettison - Highly configurable, fast JSON encoder for Go

ojg - Optimized JSON for Go

ej - Write and read JSON from different sources in one line

jsonparser - One of the fastest alternative JSON parser for Go that does not require schema

gjo - Small utility to create JSON objects

json2go - Create go type representation from json

epoch - Contains primitives for marshaling/unmarshaling Unix timestamp/epoch to/from built-in time.Time type in JSON