piccolo
Flask
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piccolo | Flask | |
---|---|---|
7 | 134 | |
1,265 | 66,287 | |
3.8% | 0.7% | |
8.6 | 8.7 | |
6 days ago | 3 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
piccolo
- Piccolo, a Lightweight and Async Pydantic V2 Python ORM
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try Piccolo instead of SQLAlchemy
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Python projects with best practices on Github?
One other project that I enjoyed reading - to integrate with, is Picollo ORM (https://github.com/piccolo-orm/piccolo). The code is really readable.
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Piccolo - a modern, async query builder / ORM for Postgres
Hi, I'm a big fan of Postgres, and have been working on Piccolo for the last few years.
- GitHub - piccolo-orm/piccolo: A fast, user friendly ORM and query builder which supports asyncio.
- Piccolo: Python fast, user friendly ORM and query builder with asyncio
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Piccolo, an async query builder and ORM for Python
Give Piccolo a go. It is already being used in production, and is improving at a rapid pace. If you have any feedback or questions, let us know on Github. Thanks!
Flask
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Rapid Prototyping with Flask, Bootstrap and Secutio
#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)
- Microdot "The impossibly small web framework for Python and MicroPython"
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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10 Github repositories to achieve Python mastery
Explore here.
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Ask HN: What would you use to build a mostly CRUD back end today?
I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.
Now...
Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?
- [0]: https://flask.palletsprojects.com
- [1]: https://flask-admin.readthedocs.io/en/latest
- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery
- [3]: https://sentry.io
- [4]: https://posthog.com
- [5]: https://www.docker.com
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Implementing continuous delivery pipelines with GitHub Actions
In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.
- How do you iterate on a library built locally?
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Flask Application Load Balancing using Docker Compose and Nginx
Flask Micro web Framework: You will use Flask to build a Flask web application.
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Open Source Flask-based web applications
In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.
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I'm learning python but I'm confused for the path ahead.
I also suggest that once you've gained familiarity with the basics, you look at micro-frameworks, such as FastAPI and flask, before switching to a full fat framework like django, which will give you an appreciation of what opinionated frameworks such as django can do for you.
What are some alternatives?
tortoise-orm - Familiar asyncio ORM for python, built with relations in mind
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
Django - The Web framework for perfectionists with deadlines.
prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
piccolo_admin - A powerful web admin for your database.
quart - An async Python micro framework for building web applications.
django-firebird - Firebird SQL backend for Django web framework
starlette - The little ASGI framework that shines. π
yt-dlp-bot - Self-hosted Video Download Telegram Bot πΊπ¦
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.