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TinyWall VS OpenCV

Compare TinyWall VS OpenCV and see what are their differences

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TinyWall logo TinyWall

Lightweight and non-intrusive firewall

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • TinyWall Landing page
    Landing page //
    2023-03-16
  • OpenCV Landing page
    Landing page //
    2023-07-29

TinyWall features and specs

  • Lightweight
    TinyWall is designed to be a lightweight firewall solution, consuming minimal system resources and running smoothly on low-end hardware.
  • No Pop-ups
    Unlike many other firewall programs, TinyWall operates without intrusive pop-ups, providing a more seamless user experience.
  • Easy Configuration
    TinyWall offers an intuitive interface with simple configuration options, making it accessible even for users with limited technical knowledge.
  • Whitelist-Based
    TinyWall uses a whitelist-based approach, which enhances security by only allowing pre-approved applications to access the network.
  • No Cost
    TinyWall is free to use, offering robust firewall protection without any cost.

Possible disadvantages of TinyWall

  • Limited Advanced Features
    Compared to some other firewall solutions, TinyWall may lack certain advanced features that power users or network administrators might require.
  • Windows-Only
    TinyWall is currently available only for Windows, which limits its use for those on other operating systems like macOS or Linux.
  • Manual Whitelisting
    The whitelist-based approach requires manual approval of applications, which can be cumbersome for users with many applications.
  • No Real-Time Notifications
    TinyWall does not provide real-time notifications about blocked connections, making it harder to diagnose connection issues immediately.
  • Support and Documentation
    While TinyWall is free, it may not offer the same level of support and comprehensive documentation as some commercial firewall products.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

TinyWall videos

+ Add

TinyWall Firewall

More videos:

  • Review - Tinywall - Windows Firewall
  • Review - Firewall Windows Tinywall

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to TinyWall and OpenCV)

TinyWall

OpenCV

Firewall
100 100%
Firewall
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using TinyWall and OpenCV. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare TinyWall and OpenCV

TinyWall Reviews

Best firewall software of 2024
TinyWall will actively block trojans, viruses, worms, and other forms of malware, and prevent the modification of Windows firewall’s settings by malicious programs. And it will do all of this without you needing to know about ports, protocols, or application details.
Source: www.techradar.com
Best Free Firewalls for Windows, Mac & Android in 2024
TinyWall is a lightweight and highly effective firewall. It works beside Windows’ own firewall to ensure safety, and it has many useful features to ensure protection against cyber threats. Some of the security tools you’ll get with TinyWall include the following:
Source: www.wizcase.com
10 Best Free Firewall Software for Windows in 2024
The fourth software on our list of Best Free Firewall software for windows is Tinywall. TinyWall is a completely free firewall software as this company does not follow a Freemium model and isn’t ad-sponsored. It isn’t a replacement for your antivirus, but it is a valuable add-on.it is actually designed to be used with Windows’ built-in Defender firewall, so its performance...
Source: www.geeksforgeeks.org

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
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 detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
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. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
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 set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV should be more popular than TinyWall. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TinyWall mentions (26)

  • Simplewall Has Been Discontinued
    Used https://tinywall.pados.hu/ when I was on Windows (at least a decade ago). - Source: Hacker News / 3 months ago
  • Blocking interent access to certain apps.
    Check out TinyWall. Only allows apps and processes you whitelist. Be sure to allow core services in Manage > Special Exceptions tab. Source: over 1 year ago
  • Brute-forcing a macOS user’s real name from a browser using mDNS
    I used to use tinywall on Windows. https://tinywall.pados.hu/. - Source: Hacker News / almost 2 years ago
  • Mac shipments grow 10%, as all major PC brands see downturns
    Remove 11 and install Windows 10 ITSC IOT edition until the equivalent for 11 drops. Make Windows shut up for good with Tinywall (https://tinywall.pados.hu/) and whitelist applications as needed. - Source: Hacker News / almost 2 years ago
  • Comodo firewall and Windows Internet not working: Can't re/un-install
    Microsoft Defender is far better as an antivirus, and there are much better 3rd-party firewall options, even though Windows Firewall works just fine. TinyWall is a very low resource whitelist-only front end for Windows Firewall; Portmaster is a comprehensive network firewall. Source: about 2 years ago
View more

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    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, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 8 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 21 days ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing TinyWall and OpenCV, you can also consider the following products

GlassWire - Visualize network activity in detail, get notified when new apps access the network, look out for...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Windows 10 Firewall Control - Windows 10 Firewall Control: simple and exhaustive solution for applications network activity controlling and monitoring.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Windows Firewall Control - Windows Firewall Control is not the built in firewall system in the Windows operating systems.

NumPy - NumPy is the fundamental package for scientific computing with Python

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