There are 1 repository under pydantic-models topic.
Fully Functional Voice Based Natural Language UI
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
Automatically and lazily generate three versions of your pydantic models: one with Extra.forbid, one with Extra.ignore, and one with all fields optional
API Client to communicate with the Cheshire Cat AI
Pydantic + Supabase = <3
Pydantic model for the AsyncAPI (v2) specification schema
Python Library that Implements the BO4E Standard
Python library to store, fetch and modify data in a GitHub repository as a database using Pydantic models and the GitHub REST API.
Pydantic classes for OpenAI's API
A Python Library for Reading and Writing Excel Files.
🥁 An engaging data science & engineering assessment for internships & part-time roles
Python model for Fortran package manifests
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.
Referral App
jsonapi-pydantic provides a suite of Pydantic models matching the JSON:API specification.
FastAPI and MongoDB were used to create a backend web application that offers RESTful APIs for managing user tasks. With a simple and clear API interface, the programme enables users to create, retrieve, update, and delete to-do lists. FastAPI, a cutting-edge and quick Python web framework, powers the backend.
A CRUD users REST API using Python3 Flask and FastAPI
A RESTful weather API created using FastAPI, MongoDB, Pydantic-models, Type hints and Docker.
ETH Pydantic types
This software project is implemented using the VK bug API, which allows you to receive documents that have ever been sent as messages by users of this social network.
A backend service for a simple Pizza Delivery System built using Python, Jinja2Templates, Postgresql, FastAPI, SQLAlchemy and Pydantic Models for data validation.
Backend & frontend that retrieves data from countries.geojson and plots it on a Mapbox map
Map and validate incoming request data to Pydantic models.
Пример прдуктивизации ML решения. Подробнее в блоге: https://mvrck.space/
Online Learning Platform using Python, FastApi, SQLAlchemy, PostgreSQL, SQLite, PyTest, GitHub-Action, Nextjs, React, TypeScript, TailwindCSS, Docker, Docker-compose
A highly customizable cache manager for python
iNotes - The perfect place for Note-Taking