
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
OpenCV is the world's biggest computer vision library

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, OpenCV seems to be more popular. It has been mentioned 62 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | opencv.org | createfilesplus.com |
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| Platforms | — | |
| 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 OpenCV 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
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
AI Courses by OpenCV.org
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CreateFiles+ Demo
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing OpenCV 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 OpenCV 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...
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more....
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a...
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Recommendations tracked on public social media and blogs since March 2021.


OpenCV is the world's largest open-source computer vision library, supported by the non-profit organization, Open Source Computer Vision Foundation. It offers a wide range of algorithms that cover a variety of tasks, from basic image... - Source: dev.to / 10 months ago
Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long... - Source: dev.to / about 1 year ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool,... - Source: dev.to / over 1 year ago
Tracking CreateFiles+ since Jun 2026.
When comparing OpenCV and CreateFiles+, you can also consider the following products.

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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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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Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
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Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
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htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.
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