Name: Tiago Silva
Type: User
Bio: Creator of Esmerald, Lilya, Saffier, Edgy, Mongoz, Asyncz, etc...
Entrepreneur, fully minded and dedicated software engineer with focus on quality.
Twitter: tarsild
Location: London, United Kingdom
Blog: https://tarsild.io
Tiago Silva's Projects
Defaults for tarsil projects
Api document support for any python web framework
ASGI specification and utilities
A python scheduler that simply does the job
:atom: The hackable text editor
A list of remote-friendly or full-remote companies that targets Italian talents.
A curated list of awesome things related to Pydantic! 🌪️
A simple cookiecutter with Angular 11 and Bootstrap 4.6
Cookiecutter Django + PostGres + Docker + DramatiQ
A simple cookiecutter for FastAPI allowing to create quick and fast applications without the hurdle of initial configurations
A simple out of the box and flask micro-service using Flask-API, Marshmallow and flask-restx
A cookiecutter that helps the generation of python projects (packages)
A React Cookiecutter for with the most simplistic structure with Boostrap 5
React for Web3
Async database support for Python. 🗄
Async database support for Python
Django boilerplate for Django 1.11.XXX and Python 3 with a login system and Rest Framework integrated
Simple chat for testing purposes using Docker, Redis, Postgres, Django 3 and Django Channels
Utilities for every single django project
A middleware to log the requests and responses using loguru.
Simple messaging system for Django implementing Django Rest Framework
Multitenancy simplified to work with single URLs.
Simple mixins for auditing your django models
🔥 The perfect ORM to work with complex databases 🔥
FastAPI framework, high performance, easy to learn, fast to code, ready for production
:books: Freely available programming books
The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
ODM with Pydantic made it simple
pepy is a site to get statistics information about any Python package.