Skip to main content

Frankfurt is an ORM based on asyncpg.

Project description

Frankfurt is an Object-Relational Mapping (ORM) library, built on top of asyncpg. It takes ideas from Django, SQLAlchemy, GiNO, and tortoise-orm.

Source and issue tracker are available at https://gitlab.com/jorgeecardona/frankfurt/issues

Support Python >= 3.7.

Introduction

Frankfurt is an ORM built on top of asyncpg, henceo, it supports only PostgreSQL.

I am taking ideas from Django, SQLAlchemy and tortoise-orm to built this.

Installation

The recommended way to install frankfurt is via pip

pip install frankfurt

Quickstart

As expected, a model can be defined as follows:

>>> from frankfurt.models import Model
>>> from frankfurt import fields
>>>
>>> class FirstModel(Model):
...    text = fields.CharField(max_length=200)
>>>
>>> m = FirstModel(text='example')
>>> m['text']
'example'

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

frankfurt-0.1b30.tar.gz (13.0 kB view details)

Uploaded Source

File details

Details for the file frankfurt-0.1b30.tar.gz.

File metadata

  • Download URL: frankfurt-0.1b30.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for frankfurt-0.1b30.tar.gz
Algorithm Hash digest
SHA256 c7f319efa58bd67ec246f213d9a8e4b8c2d187b54fbd27fea1f411ac3a058b93
MD5 7b984f5302c435053f788a622e67dd47
BLAKE2b-256 d4ceda288b883ceee74bbb90fef99bc79ca633303e9cb51fd9c65c8fd2468a5a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page