Pydantic Libraries

44 Components & Libraries

Sortby

Pydantic Libraries

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.8+ based on standard Python type hints. The key features are: * estimation based on tests on an internal de…

SQL databases in Python, designed for simplicity, compatibility, and robustness.

SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. The key features are: Here'…

💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

Or Watch here: Now you've just created an API that:

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, …

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and…

Represent, send, store and search multimodal data

To install DocArray from the CLI, run the following command: New to DocArray? Depending on your use case and background, there are multiple ways to learn about DocArray: This is particularly benefici…

Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.

🚨 These tags are no longer supported or maintained, they are removed from the GitHub repository, but the last versions pushed might still be available in Docker Hub if anyone has been pulling them: T…

Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.

You can generate models from a local file. These OSS projects use datamodel-code-generator to generate many models. See the following linked projects for real world examples and inspiration. You can …

🔮Pythonic App Framework from Future : Build ⚡Blazing Fast , 🤖Self-Modifying Apps!

Build apps —effortlessly and quickly ⚡. It simplifies Pythonic development for everything from backends to frontends (yes, visually 🦚stunning frontends in Python!), AI integrations, APIs, and beyond—…

Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

Starlite is fast. It is on par with, or significantly faster than comparable ASGI frameworks. While supporting function based route handlers, Starlite also supports and promotes python OOP using clas…

python async orm with fastapi in mind and pydantic validation

And what's a better name for python ORM than snakes cabinet :) The bigger community we build, the easier it will be to catch bugs and attract contributors ;) Yet remember that those are - well - test…

Polar is the creator platform for developers & the open source ecosystem.

A creator platform for developers and the open source ecosystem – built open source (Apache 2.0). Offering you – as a developer – a platform on top of your GitHub repositories to: Start building, en…

Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints

Core features: To enjoy an async context without any code boilerplate, you can reproduce the following steps using the AsyncIO REPL (only for Python 3.8+). This model contains three fields: For now,…

This code generator creates FastAPI app from an openapi file.

This code generator creates a FastAPI app from an openapi file. You can use the following variables in the jinja2 templates Custom visitors allow you to pass custom variables to your custom templates…

This is a project template which uses FastAPI, Alembic and async SQLModel as ORM. It shows a complete async CRUD using authentication and role base access control.

Developing web applications can be a challenging process, especially when dealing with databases, authentication, asynchronous tasks, and other complex components. Our template is designed to simplif…

Ready-to-use and customizable Authentications and Oauth2 management for FastAPI ✨

AuthX is designed to be as customizable and adaptable as possible. Here is a simple way to kickstart your project with AuthX: This project is licensed under the terms of the MIT License.

Course demos and handouts for our Modern APIs with FastAPI course.

FastAPI is one of the most exciting new web frameworks out today. It's exciting because it leverages more of the modern Python language features than any other framework: type hints, async and await,…

Opinionated set of utilities on top of FastAPI

Opinionated set of utilities on top of FastAPI To install just Contrib (without mongodb, pytz, ujson): To install contrib with mongodb support: To install contrib with ujson support: To install contr…

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Note: If possible register your account with a company email address. Once you have a subscription id apply for Azure Open AI Service here: GenEng revolution being led by developers who build deep pr…

LeetCode Contest Rating Prediction

make this repo public, first release. first version in production refine backend logic to enhance robustness and clean up deprecated static site rendering code

PyCharm plugin for pydantic. This plugin provides autocompletion, inspection, type-checking, inserting unfilled argument, and more.

FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

Before installing FastCRUD, ensure you have the following prerequisites: To install, just run: Or, if using poetry: FastCRUD offers two primary ways to use its functionalities: Below are examples dem…

High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).

High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (powered by Redis & PostgreSQL).

🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies!

Clone the repo Create a virtual environment: If you are using VS Code, I recommend you to install some plugins: With this configuration, errors will be captured and reported to your Sentry project fo…

An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.

Start by using the template, and naming the repository to what you want. Then clone your created repository (I'm using the base for the example) For database administration using PGAdmin create the f…

⭐️ 基于 FastAPI+Vue3+Naive UI 的现代化轻量管理平台 A modern and lightweight management platform based on FastAPI, Vue3, and Naive UI.

基于 FastAPI + Vue3 + Naive UI 的现代化前后端分离开发平台，融合了 RBAC 权限管理、动态路由和 JWT 鉴权，助力中小型应用快速搭建，也可用于学习参考。 username：admin password：123456 启动项目需要以下环境：启动项目需要以下环境：进群的条件是给项目一个star，小小的star是作者维护下去的动力。你可以在群里提出任何疑问，我会尽快…

Integration of FastAPI framework supported by Pydantic with SQLAlchemy ORM and PostgreSQL on asyncpg driver

To build , run and test and more ... use magic of make help to play with this project. To address below needs: Setup user authentication with JWT and Redis as token storage. Hope you enjoy it. Use th…