pythonfix
aiopg 1.4.0
Postgres integration with asyncio.
Postgres integration with asyncio.
Stars: 1428, Watchers: 1428, Forks: 161, Open Issues: 87The aio-libs/aiopg repo was created 11 years ago and the last code push was 2 months ago.
The project is very popular with an impressive 1428 github stars!
How to Install aiopg
You can install aiopg using pip
pip install aiopg
or add it to a project with poetry
poetry add aiopg
Package Details
- Author
- Andrew Svetlov
- License
- BSD
- Homepage
- https://aiopg.readthedocs.io
- PyPi:
- https://pypi.org/project/aiopg/
- GitHub Repo:
- https://github.com/aio-libs/aiopg
Classifiers
- Database
- Database/Front-Ends
Related Packages
Errors
A list of common aiopg errors.
Code Examples
Here are some aiopg code examples and snippets.
GitHub Issues
The aiopg package has 87 open issues on GitHub
- Bump black from 22.3.0 to 25.11.0
- Bump isort from 5.9.3 to 6.1.0
- Bump six from 1.16.0 to 1.17.0
- Bump docker from 6.1.2 to 7.1.0
- Bump pytest-cov from 2.12.1 to 7.0.0
- Bump pytest-timeout from 1.4.2 to 2.4.0
- Bump pytest from 6.2.4 to 8.4.2
- Bump coverage from 5.5 to 7.10.7
- Bump async-timeout from 4.0.0 to 5.0.1
- added extras execute_batch for executemany
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MySQL driver for asyncio.
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Database Abstraction Library
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Job scheduler for managing background tasks (asyncio)
aioice 0.10.2
An implementation of Interactive Connectivity Establishment (RFC 5245)
aiohttp-socks 0.11.0
Proxy connector for aiohttp
aiohttp-session 2.12.1
sessions for aiohttp.web
aiohttp-jinja2 1.6
jinja2 template renderer for aiohttp.web (http server for asyncio)
aiohttp-cors 0.8.1
CORS support for aiohttp
aiohttp 3.13.3
The aiohttp Python package is an asynchronous HTTP client/server framework that leverages Python's asyncio library. It supports both client and server sides of the HTTP protocol, as well as client and server websockets. The package provides a web server with middleware support and pluggable routing. This makes it a powerful tool for building efficient, non-blocking web applications in Python. It is highly recommended for projects where concurrent network or HTTP requests are a core requirement, and it is often used in web scraping, API consumption, and web development.