gcp-log VS orjsonl

Compare gcp-log vs orjsonl and see what are their differences.

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gcp-log orjsonl
1 1
2 16
- -
5.3 6.6
9 months ago 7 months ago
Python Python
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.

gcp-log

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

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.

What are some alternatives?

When comparing gcp-log and orjsonl you can also consider the following projects:

python-logfmter - Using the stdlib logging module and without changing a single logging call, logfmter supports global (first and third party) logfmt structured logging.

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

structlog - Simple, powerful, and fast logging for Python.

mashumaro - Fast and well tested serialization library

pygogo - A Python logging library with superpowers

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

structlog-gcp - Google Cloud Logging formatter for structlog

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

ratarmount - Access large archives as a filesystem efficiently, e.g., TAR, RAR, ZIP, GZ, BZ2, XZ, ZSTD archives

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.