
TensorFlow
Keras
Scikit-learn
NumPy
CUDA Toolkit
Pandas
MLKit
Open source deep learning platform that provides a seamless path from research prototyping to...

Create blank files, custom file types, templates, whole batches, and reusable folder setups exactly where you are working on macOS.

Which is more popular?
Based on our record, PyTorch seems to be more popular. It has been mentioned 144 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | pytorch.org | createfilesplus.com |
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| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of PyTorch yet.
CreateFiles+ adds the file creation workflow macOS should have had all along. Create a new file exactly where you are working, without opening TextEdit, saving-as, using Terminal, or dragging template files around. Use Finder right-click menus where macOS allows them, or fall back to the Finder...
What each product offers, as listed by its team.


Possible disadvantages
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Overall verdict
Why this product is good
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PyTorch in 5 Minutes
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing PyTorch and CreateFiles+.
CreateFiles+'s answer:
Xcode and Swift
CreateFiles+'s answer:
macOS should have created this feature out of the box but does not exist. Windows users have had this feature for over a decade. I created this to remove that gap for macOS users.
CreateFiles+'s answer:
I am not familiar with any competitors doing this today.
CreateFiles+'s answer:
Power Users, Developers, Productivity focused users, students, teachers, creators.
CreateFiles+'s answer:
Its brand new so that is yet to be determined.
CreateFiles+'s answer:
I have struggled with not having this capability in Finder for years and decided I would fix the problem for me and then see if other users would want the same solution.
Share your experience with using PyTorch and CreateFiles+. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement...
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural...
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for...
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Recommendations tracked on public social media and blogs since March 2021.


PyTorch: A popular deep learning framework for Python. - Source: dev.to / 4 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable... - Source: dev.to / 5 months ago
Install PyTorch with GPU support: Go to the official PyTorch website (pytorch.org) and use their configurator to get the correct pip or conda command for your specific CUDA version. It will look something like this:. - Source: dev.to / 6 months ago
Tracking CreateFiles+ since Jun 2026.
When comparing PyTorch and CreateFiles+, you can also consider the following products.

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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NumPy is the fundamental package for scientific computing with Python
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Select Target Platform Click on the green buttons that describe your target platform.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Compare Pandas to PyTorch or CreateFiles+: