pydantic-models

A hub for various industry-specific schemas to be used with VLMs.

Fully Functional Voice Based Natural Language UI

O!My Models (omymodels) is a library to generate Pydantic, Dataclasses, GinoORM Models, SqlAlchemy ORM, SqlAlchemy Core Table, Models from SQL DDL. And convert one models to another.

This article will teach you how to create a CRUD RESTful API with Python, FastAPI, PyMongo, MongoDB, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.

This article will teach you how to create a CRUD RESTful API with Python, FastAPI, SQLAlchemy ORM, Pydantic, Alembic, PostgreSQL, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.

Schema.org classes in pydantic

Supadantic is a small Python library that allows you to manage Supabase tables through Pydantic models.

Generate Pydantic models other types from Supabase/Postgres schemas automatically. Ideal for FastAPI, Supabase, and rapid prototyping.

Automatically and lazily generate three versions of your pydantic models: one with Extra.forbid, one with Extra.ignore, and one with all fields optional

Easy mapping for Pydantic models

API Client to communicate with the Cheshire Cat AI

Python Library that Implements the BO4E Standard

Python package for easy sqlalchemy filtering databases using dataclasses or without them

SCIM resources serialization and validation with Pydantic

Pydantic model for the AsyncAPI (v2) specification schema

convert CSV to pydantic.BaseModel and vice versa

A Python Library for Reading and Writing Excel Files.

Python library to store, fetch and modify data in a repository as a database using Pydantic models and the REST API.

Pydantic classes for OpenAI's API

msaDocModels - MSA Document Pydantic Models and Schemas, used to store Parser, NLP, NLU and AI results for processed documents Optimized for use with FastAPI/Pydantic.