awesome-mysql VS PyMySQL

Compare awesome-mysql vs PyMySQL and see what are their differences.

awesome-mysql

A curated list of awesome MySQL software, libraries, tools and resources (by shlomi-noach)
Judoscale - Save 47% on cloud hosting with autoscaling that just works
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InfluxDB high-performance time series database
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awesome-mysql PyMySQL
1 4
2,426 7,756
1.2% 0.3%
6.0 7.2
30 days ago 3 months ago
Python
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.

awesome-mysql

Posts with mentions or reviews of awesome-mysql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-26.
  • CSS Deep
    2090 projects | dev.to | 26 Feb 2021
    shlomi-noach/awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources

PyMySQL

Posts with mentions or reviews of PyMySQL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-23.

What are some alternatives?

When comparing awesome-mysql and PyMySQL you can also consider the following projects:

asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.

mysqlclient - MySQL/MariaDB connector for Python

psycopg2 - PostgreSQL database adapter for the Python programming language

mysql-python - MySQLdb is a Python DB API-2.0 compliant library to interact with MySQL 3.23-5.1 (unofficial mirror)

pymssql - Official home for the pymssql source code.

mysql-connector-python - MySQL Connector/Python is implementing the MySQL Client/Server protocol completely in Python. No MySQL libraries are needed, and no compilation is necessary to run this Python DB API v2.0 compliant driver. Documentation & Download: http://dev.mysql.com/doc/connector-python/en

Judoscale - Save 47% on cloud hosting with autoscaling that just works
Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
judoscale.com
featured
InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com
featured