awesome-postgres VS PyMySQL

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

awesome-postgres

A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql (by dhamaniasad)
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awesome-postgres PyMySQL
5 4
9,520 7,551
- 0.6%
5.0 7.4
3 days ago 25 days ago
Python
Creative Commons Zero v1.0 Universal 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-postgres

Posts with mentions or reviews of awesome-postgres. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-11.

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-postgres and PyMySQL you can also consider the following projects:

mysqlclient - MySQL database connector for Python (with Python 3 support)

awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources

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

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

oursql - oursql is a set of MySQL bindings for python with a focus on wrapping the MYSQL_STMT API to provide real parameterization and real server-side cursors.

pgtt - pgtt is a time traveling tool for PostgreSQL to help speedup development and testing of various applications by enabling the user to easily travel between points in time. This can be useful when for example you have to test a certain mutation multiple times and want to quickly rollback to before the mutation to make changes to the behaviour and test again. This will save time and avoids setting up the data over and over again, especially in larger applications with complex data and flows.

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