orjsonl VS jsonpickle

Compare orjsonl vs jsonpickle and see what are their differences.

orjsonl

A lightweight, high-performance Python library for parsing jsonl files. (by umarbutler)

jsonpickle

Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python. (by jsonpickle)
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orjsonl jsonpickle
1 3
14 1,218
- 1.5%
6.6 9.1
6 months ago 16 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

orjsonl

Posts with mentions or reviews of orjsonl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-09.

jsonpickle

Posts with mentions or reviews of jsonpickle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-10.

What are some alternatives?

When comparing orjsonl and jsonpickle you can also consider the following projects:

dataconf - Simple dataclasses configuration management for Python with hocon/json/yaml/properties/env-vars/dict/cli support.

picklejson - A library allowing the user to serialize any python object into JSON

mashumaro - Fast and well tested serialization library

srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)

orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

PyFLP - FL Studio project file parser

gcp-log - Python library to format logs as GCP-compatible JSON.

rememberer - Rememberer is a python package to help your functions remember their previous results.

json-lines - Read JSON lines (jl) files, including gzipped and broken

msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML