python-rapidjson VS jsonrpc-ts

Compare python-rapidjson vs jsonrpc-ts and see what are their differences.

jsonrpc-ts

Strongly 💪 Typed Fast and lightweight JSON RPC 2.0 Client for Nodejs (by shekohex)
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python-rapidjson jsonrpc-ts
1 1
492 65
0.4% -
7.5 2.8
11 days ago 8 months ago
C++ TypeScript
GNU General Public License v3.0 or later 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.

python-rapidjson

Posts with mentions or reviews of python-rapidjson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-11.
  • How to Design Better APIs
    7 projects | news.ycombinator.com | 11 Mar 2022
    > * Human readable

    Computers are the main consumers of APIs, and ISO 8601 is far from machine-readable.

    For example, in Elixir, DateTime.from_iso8601/1 won't recognize "2022-03-12T07:36:08" even though it's valid. I had to rewrite a chunk of Python's radidjson wrapper to 1-9 digit fractional seconds (1).

    I'm willing to bet 99% of ISO8601 will fail to handle all aspects of the spec. So when you say "ISO8601" what you're really saying is "our [probably undocumented, and possibly different depending on what system you're hitting] version of the ISO-86001 spec."

    (1) https://github.com/python-rapidjson/python-rapidjson/pull/13...

jsonrpc-ts

Posts with mentions or reviews of jsonrpc-ts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-11.
  • How to Design Better APIs
    7 projects | news.ycombinator.com | 11 Mar 2022
    Active use is really irrelevant if you only plan on using it inside a company, because you can implement a client and server within 30 mins to an hour, no external tools needed. The spec is clear and readable. It's excellent. We use it with a TypeScript codebase and just share the interfaces for the services in a monorepo.

    If you want a more advanced implementation with type inference for Typescript you can use this: https://github.com/shekohex/jsonrpc-ts

    I'd still recommend implementing your own, my own implementation is based off the one above.

What are some alternatives?

When comparing python-rapidjson and jsonrpc-ts you can also consider the following projects:

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

webrpc - webrpc is a schema-driven approach to writing backend services for modern Web apps and networks

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

typed-json-rpc - Simple, statically typed and ergonomic way to do async communications (events, workers, http requests) with json-rpc

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

serpy - ridiculously fast object serialization

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

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

mashumaro - Fast and well tested serialization library

PyLD - JSON-LD processor written in Python

pysimdjson - Python bindings for the simdjson project.

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