dropbox-sdk-python
piccolo
| dropbox-sdk-python | piccolo | |
|---|---|---|
| 4 | 7 | |
| 916 | 1,273 | |
| 1.4% | 2.0% | |
| 3.2 | 8.4 | |
| 6 months ago | 19 days ago | |
| Python | Python | |
| MIT License | MIT 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.
dropbox-sdk-python
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Python projects with best practices on Github?
The creation of the dropbox-sdk-python repo was almost certainly overseen by Guido van Rossum since he was working at Dropbox at the time. There is a note in the Smartsheet SDK repo that parts of it were developed by Dropbox as well.
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How do you read files that's in Dropbox using django-storage?
Or do you or should I just use this 'dropbox-sdk-python' (https://github.com/dropbox/dropbox-sdk-python)?
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A Quadrillion Mainframes on Your Lap
I'm not drawing conclusions from this, but I did some poking around..
I ran `git clone` on the repos of both rsync[0] and the official Dropbox SDK for Python[1]. I then ran sloccount on both of them.
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rsync came in at a total of 51,410 physical source lines of code.
The Dropbox SDK came in at a total of 74,140 physical source lines of code.
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[0] https://git.samba.org/rsync.git
[1] https://github.com/dropbox/dropbox-sdk-python
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Create an Appwrite File Backup Function Using the Dropbox API
In this example, we will demonstrate how we can integrate with a third-party storage provider like Dropbox to create backups of files uploaded to Appwrite. For the sake of this example, we will be using Dropbox’s Python SDK. A similar concept applies to other API providers like Box or Google Drive. So let’s get started.
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!
What are some alternatives?
solana-py - Solana Python SDK
tortoise-orm - Familiar asyncio ORM for python, built with relations in mind
terra.py - Python SDK for Terra
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
auth0-python - Auth0 SDK for Python
prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
fastapi-memory-leak
piccolo_admin - A powerful web admin for your database.
streamlit - Streamlit — A faster way to build and share data apps.
django-firebird - Firebird SQL backend for Django web framework
pyxet - Python SDK for XetHub
yt-dlp-bot - Self-hosted Video Download Telegram Bot 🇺🇦