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-0.1b38.tar.gz (14.9 kB view details)

Uploaded Source

File details

Details for the file frankfurt-0.1b38.tar.gz.

File metadata

  • Download URL: frankfurt-0.1b38.tar.gz
  • Upload date:
  • Size: 14.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for frankfurt-0.1b38.tar.gz
Algorithm Hash digest
SHA256 5a7319cdd0ea730951692140075586b95b26d113511ab97f3fcf8c81b819af5e
MD5 fb3ae06a7d7c6d88f672a01dd4c9b01f
BLAKE2b-256 166470558747f94c4858e4c649437acf8295daebb5e77f172532c0b0cea1a060

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