python-cx_Oracle VS ultrajson

Compare python-cx_Oracle vs ultrajson and see what are their differences.

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python-cx_Oracle ultrajson
1 3
878 4,250
-0.3% 0.4%
2.6 6.9
7 months ago 3 days ago
C C
GNU General Public License v3.0 or later 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.
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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-cx_Oracle

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

ultrajson

Posts with mentions or reviews of ultrajson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.
  • Processing JSON 2.5x faster than simdjson with msgspec
    5 projects | /r/Python | 3 Oct 2022
    ujson
  • Benchmarking Python JSON serializers - json vs ujson vs orjson
    2 projects | dev.to | 25 May 2022
    For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson
  • The fastest tool for querying large JSON files is written in Python (benchmark)
    16 projects | news.ycombinator.com | 12 Apr 2022
    I asked about this on the Github issue regarding these benchmarks as well.

    I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?

    [0] https://github.com/ultrajson/ultrajson

What are some alternatives?

When comparing python-cx_Oracle and ultrajson you can also consider the following projects:

oracle-db-tools - This project is a repository of sample code that will demonstrate various concepts to assist developers in building applications around Oracle Database technologies. SDKs and scripts will be available to integrate with SQL Developer, Data Modeler, Oracle REST Data Services and DBaaS.

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

surrealdb.py - SurrealDB driver for Python

greenpass-covid19-qrcode-decoder - An easy tool for decoding Green Pass Covid-19 QrCode

godror - GO DRiver for ORacle DB

python-rapidjson - Python wrapper around rapidjson

DBD-Oracle - Oracle database driver for the DBI module

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

PyLD - JSON-LD processor written in Python

pysimdjson - Python bindings for the simdjson project.

hjson-py - Hjson for Python

serpy - ridiculously fast object serialization