How to Install and Uninstall python3-ormar Package on Kali Linux
Last updated: December 23,2024
1. Install "python3-ormar" package
Please follow the guidelines below to install python3-ormar on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-ormar
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2. Uninstall "python3-ormar" package
Please follow the instructions below to uninstall python3-ormar on Kali Linux:
$
sudo apt remove
python3-ormar
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-ormar package on Kali Linux
Package: python3-ormar
Source: ormar
Version: 0.12.2-1
Installed-Size: 665
Maintainer: Debian Python Team
Architecture: all
Depends: python3-databases, python3-importlib-metadata | python3-supported-min (>= 3.8), python3-pydantic, python3-sqlalchemy (>= 1.3.18), python3-typing-extensions | python3-supported-min (>= 3.8), python3:any
Size: 122536
SHA256: 9be84bc6e306c228e0425c692d7b8dccda91e4bccca48be446c8e2acfa6d387a
SHA1: 489ae0f0f11c985571b8b4365d9caf801cbae55a
MD5sum: a003fba27edae0fe6d47e4c6fabf50dc
Description: async ORM with fastapi in mind and pydantic validation
An async mini ORM for Python, with support for Postgres, MySQL, and SQLite.
.
The main benefits of using ormar are:
.
* getting an async ORM that can be used with async frameworks (fastapi,
starlette etc.)
* getting just one model to maintain - you don't have to maintain pydantic
and other orm models (sqlalchemy, peewee, gino etc.)
.
The goal was to create a simple ORM that can be used directly (as request and
response models) with fastapi that bases it's data validation on pydantic.
Description-md5:
Homepage: https://github.com/collerek/ormar
Section: python
Priority: optional
Filename: pool/main/o/ormar/python3-ormar_0.12.2-1_all.deb
Source: ormar
Version: 0.12.2-1
Installed-Size: 665
Maintainer: Debian Python Team
Architecture: all
Depends: python3-databases, python3-importlib-metadata | python3-supported-min (>= 3.8), python3-pydantic, python3-sqlalchemy (>= 1.3.18), python3-typing-extensions | python3-supported-min (>= 3.8), python3:any
Size: 122536
SHA256: 9be84bc6e306c228e0425c692d7b8dccda91e4bccca48be446c8e2acfa6d387a
SHA1: 489ae0f0f11c985571b8b4365d9caf801cbae55a
MD5sum: a003fba27edae0fe6d47e4c6fabf50dc
Description: async ORM with fastapi in mind and pydantic validation
An async mini ORM for Python, with support for Postgres, MySQL, and SQLite.
.
The main benefits of using ormar are:
.
* getting an async ORM that can be used with async frameworks (fastapi,
starlette etc.)
* getting just one model to maintain - you don't have to maintain pydantic
and other orm models (sqlalchemy, peewee, gino etc.)
.
The goal was to create a simple ORM that can be used directly (as request and
response models) with fastapi that bases it's data validation on pydantic.
Description-md5:
Homepage: https://github.com/collerek/ormar
Section: python
Priority: optional
Filename: pool/main/o/ormar/python3-ormar_0.12.2-1_all.deb