aiopg
aiopg is a library for accessing a PostgreSQL database from the asyncio (by aio-libs)
databases
Async database support for Python. 🗄 (by encode)
aiopg | databases | |
---|---|---|
1 | 15 | |
1,376 | 3,703 | |
0.4% | 0.5% | |
4.2 | 5.8 | |
about 2 months ago | 26 days ago | |
Python | Python | |
BSD 2-clause "Simplified" 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.
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.
aiopg
Posts with mentions or reviews of aiopg.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-28.
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aiopg vs asyncpg vs psycopg3
aiopg: 1.3k starts, last commit 1 nov 2021, recent bug in newer SQLAlchemy version, few open PRs, most recent PRs did not get a contributor response.
databases
Posts with mentions or reviews of databases.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-15.
- Whats the standard way for interacting with a DB.
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Getting Started with Fast-Api 🏎️ and Docker🐳
In the code ,we are using SQLAlchemy as our ORM(Object Relational Mapper) and Databases as our query builder.
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A Deep Dive into Connecting FastAPI with SingleStore.
MySQL is a powerful and popular database, and it's well-suited for use with Python. In the following section, we are going through how to set up a connection to a MySQL database in an asynchronous manner using the create_asynchrouns_engine function from SQLAlchemy. We'll also use the databases package and the aiomysql extra dependency. We'll also adapt the SQLAlchemy declarative approach to defining our users' table.
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Django 4.1 alpha 1 released
To take an example: I switched a service over from doing synchronous (plain def everywhere) to async (async def and await everywhere, with async DB, and saw… basically no performance improvement.
- PostgREST v9.0.0
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python asyncio, how to prevent the other functions "block" themselves when connecting to db?
No, as I said, async db connection is the key. You can do that with SQLAlchemy using the databases library, but since you are not using SQLAlchemy it makes more sense to use the underlying db driver, aiomysql, directly.
- Database library
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Best approach for async SQLAlchemy in FastAPI
Using the encode/databases library and forgoing SQLAlchemy's ORM
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FastAPI + Ormar + Alembic setup
ormar is a mini async ORM for python. It uses sqlalchemy for building queries, databases for asynchronous execution of queries, and pydantic for data validation. You can create an ormar model and generate pydantic models from it.
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async sqlalchemy question db question
works but there seems to be a difference between the regular slqalchemy syntax from what https://github.com/encode/databases/ is using in the docs?
What are some alternatives?
When comparing aiopg and databases you can also consider the following projects:
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
aiomysql - aiomysql is a library for accessing a MySQL database from the asyncio