pycloudinary
Python package for cloudinary (by cloudinary)
pyxet
Python SDK for XetHub (by xetdata)
| pycloudinary | pyxet | |
|---|---|---|
| 1 | 4 | |
| 249 | 34 | |
| 0.0% | - | |
| 7.4 | 8.1 | |
| 26 days ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pycloudinary
Posts with mentions or reviews of pycloudinary.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-07.
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How to use autosave=False in CloudinaryFileField when using Django forms
In this post, I showed how to override the default action of automatically uploading files by Cloudinary in Django projects using the pycloudinary package. I hope you enjoyed reading this.
pyxet
Posts with mentions or reviews of pyxet.
We have used some of these posts to build our list of alternatives
and similar projects.
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Backing up datasets locally is crucial.
Have you looked into Xethub? It's like Github with ML-extensions. Their philosophy is you commit everything: code, assets, embeddings, the source docs, models, etc.
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LLM for Church Fathers texts
There are plenty of variations on this idea but one I found most enlightening is a workshop example for a commercial product called Xethub.
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On storing trained models (with sklearn and other libraries) - how do you do it?
I've been playing with Xethub lately. It looks and feels like git but deals with large models and embeddings pretty seamlessly.
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[P] pyxet: a Python library for ML teams to work with data like S3, while having the memory of Git.
Code: https://github.com/xetdata/pyxet
What are some alternatives?
When comparing pycloudinary and pyxet you can also consider the following projects:
cloudinary_js - Cloudinary JavaScript library
telekinesis - Control Objects and Functions Remotely
terra.py - Python SDK for Terra
dropbox-sdk-python - The Official Dropbox API V2 SDK for Python
django-cloudinary-autosave - A Django project that demonstrates the use of the CloudinaryFileField autosave option
filestack-python - Official Python SDK for Filestack - API and content management system that makes it easy to add powerful file uploading and transformation capabilities to any web or mobile application.