dropbox-sdk-python
ubelt
dropbox-sdk-python | ubelt | |
---|---|---|
4 | 7 | |
916 | 711 | |
1.4% | - | |
3.2 | 8.3 | |
6 months ago | 11 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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 Dropboxβs Python SDK. A similar concept applies to other API providers like Box or Google Drive. So letβs get started.
ubelt
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Python libs that I wish were part of the standard library
I can't give you a stdlib, but I can give you a package with a lot of the basic functionality but still small enough that it installs quickly and has negligable overhead. The ubelt library is a set of 100ish utility functions and classes. It's similar to boltons, but I suppose it reflects a different perspective on what's useful.
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How do you feel about vendored packages?
Number 3 is the one I feel most conflicted about. Specifically, I tout my ubelt library as having 0 required dependencies. However, it vendors two libraries: progiter and orderedset. The first of which I also maintain and the second of which I don't maintain, but have contributed to. It feels odd to have a single dependency for a library that would otherwise have zero. But at the same time it feels odd to maintain that code myself. Also if I didn't vendor it, it would not be included in the documentation, so there is that. I've recently been thinking I should split ubelt up into many smaller packages and then use ubelt as a "hub" to include them all. However, that's a lot more work than just maintaining one (still quite small) package, and I think having everything broken up with incur a lot of overhead at pip install time, so I'm very conflicted on the whole subject.
- Useful helper libraries
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Python projects with best practices on Github?
I'm fairly happy with my ubelt library.
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[D] What is some cool python magic(s) that you've learned over the years?
The ubelt.util_platform module is a good example of including references to similar functionality.
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
I also have a utility library ubelt with 552 stars and 6.9k downloads / month.
What are some alternatives?
solana-py - Solana Python SDK
best-of-web-python - π A ranked list of awesome python libraries for web development. Updated weekly.
terra.py - Python SDK for Terra
best-of-python-dev - π A ranked list of awesome python developer tools and libraries. Updated weekly.
auth0-python - Auth0 SDK for Python
best-of-jupyter - π A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
fastapi-memory-leak
best-of-python - π A ranked list of awesome Python open-source libraries and tools. Updated weekly.
streamlit - Streamlit β A faster way to build and share data apps.
fastcore - Python supercharged for the fastai library
pyxet - Python SDK for XetHub
best-of-ml-python - π A ranked list of awesome machine learning Python libraries. Updated weekly.