aiohttp_admin

.. image:: https://travis-ci.org/aio-libs/aiohttp_admin.svg?branch=master :target: https://travis-ci.org/aio-libs/aiohttp_admin .. image:: https://codecov.io/gh/aio-libs/aiohttp_admin/branch/master/graph/badge.svg :target: https://codecov.io/gh/aio-libs/aiohttp_admin

aiohttp_admin will help you on building an admin interface on top of an existing data model. Library designed to be database agnostic and decoupled of any ORM or database layer. Admin module relies on async/await syntax (PEP492) thus not compatible with Python older than 3.5.

.. image:: https://raw.githubusercontent.com/aio-libs/aiohttp_admin/master/docs/demo.gif :align: center

Design

aiohttp_admin using following design philosophy:

• backend and frontend of admin views are decoupled by REST API as a result it is possible to change admin views without changing any python code. On browser side user interacts with single page application (ng-admin).

• admin views are database agnostic, if it is possible to implement REST API it should be straightforward to add admin views. Some filtering features may be disabled if database do not support some kind of filtering.

.. image:: https://cdn.rawgit.com/aio-libs/aiohttp_admin/master/docs/diagram2.svg :align: center :scale: 60 %

.. include:: CONTRIBUTING.rst

Supported backends

• PostgreSQL with, aiopg_ and sqlalchemy.core_
• MySQL with aiomysql_ and sqlalchemy.core_
• Mongodb with motor_

Mailing List

https://groups.google.com/forum/#!forum/aio-libs

Requirements

• Python_ 3.5+
• aiopg_ or aiomysql_ or motor_

.. _Python: https://www.python.org .. _asyncio: http://docs.python.org/3.4/library/asyncio.html .. _aiopg: https://github.com/aio-libs/aiopg .. _aiomysql: https://github.com/aio-libs/aiomysql .. _motor: https://github.com/mongodb/motor .. _sqlalchemy.core: http://www.sqlalchemy.org/ .. _PEP492: https://www.python.org/dev/peps/pep-0492/ .. _docker: https://www.docker.com/ .. _instruction: https://docs.docker.com/engine/installation/linux/ubuntulinux/ .. _docker-machine: https://docs.docker.com/machine/