
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Azure Machine Learning Studio
Amazon SageMaker
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.

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, TensorFlow seems to be more popular. It has been mentioned 8 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tensorflow.org | createfilesplus.com |
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| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


No description of TensorFlow 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...
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No analysis of TensorFlow yet.
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Walkthroughs and reviews on video.
What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TensorFlow 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 TensorFlow 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.


From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object...
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image...
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for...
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Recommendations tracked on public social media and blogs since March 2021.


The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even... - Source: dev.to / 7 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow... - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Tracking CreateFiles+ since Jun 2026.
When comparing TensorFlow and CreateFiles+, you can also consider the following products.

Open source deep learning platform that provides a seamless path from research prototyping to...
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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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Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
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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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Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.
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Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
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