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OpenCV VS Distill Web Monitor

Compare OpenCV VS Distill Web Monitor and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Distill Web Monitor logo Distill Web Monitor

Distill is a web monitoring tool. It can monitor RSS feeds, a webpage or a part of webpage. Alerts in the form of pop-up, audio or emails can be received.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Distill Web Monitor Landing page
    Landing page //
    2023-05-07

Distill is a web monitoring tool. It can monitor RSS feeds, a webpage or a part of webpage. Alerts in the form of pop-up, audio or emails can be received.

Featured highlights:

• Content selection from any webpage including iframes. • Supported actions: • Push notifications on phone • Pop-up • Audio • Email • SMS • Webhook • Easy to use inbox style Watchlist with label, trash etc. • Conditions for smart actions. • History of previous changes for each monitor. • Powerful expressions to select source content. Supports XPath expression, CSS rule or JavaScript expression to select content. • View highlighted changes.

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.

Distill Web Monitor features and specs

  • User-Friendly Interface
    Distill Web Monitor features an intuitive and easy-to-navigate interface, making it accessible even for users with limited technical skills.
  • Multi-Platform Support
    It supports multiple browsers and platforms including Chrome, Firefox, and iOS, providing flexibility for users.
  • Customizable Notifications
    Users can tailor notification settings to receive alerts via email, SMS, or push notifications, ensuring they stay informed in real-time.
  • Advanced Monitoring Options
    Offers a range of monitoring options including visual comparison, text recognition, and element-based tracking, catering to various monitoring needs.
  • Free Version Available
    A free basic version of Distill Web Monitor is available, allowing users to try out the service before committing to a paid plan.

Possible disadvantages of Distill Web Monitor

  • Limited Features in Free Plan
    The free version has limited functionalities, such as fewer checks and longer intervals, which may be inadequate for intensive monitoring needs.
  • Pricing
    The cost of premium plans can be relatively high for individuals or small businesses, potentially limiting accessibility for cost-sensitive users.
  • Resource-Intensive
    Running continuous monitoring can consume significant system resources, particularly affecting performance on lower-end hardware.
  • Learning Curve
    While the interface is user-friendly, some of the advanced features and customization options may require a learning curve for less tech-savvy users.
  • Privacy Concerns
    Monitoring sensitive or personal data on some websites could present privacy risks, depending on the sites being tracked and how data is handled.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

Analysis of Distill Web Monitor

Overall verdict

  • Overall, Distill Web Monitor is a reliable and efficient tool for those needing to keep up with web page changes. Its robust set of features and ease of use make it a strong choice for both personal and professional use.

Why this product is good

  • Distill Web Monitor is considered good due to its user-friendly interface, customizable monitoring features, and compatibility with various websites. It allows users to track changes on web pages and receive alerts, making it ideal for monitoring price changes, product availability, and content updates.

Recommended for

  • Individuals tracking price changes on e-commerce websites
  • Professionals who need to follow content updates on competitors' sites
  • Researchers who want to monitor specific changes in online publications
  • Anyone interested in receiving timely alerts for changes in web content

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Distill Web Monitor videos

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Category Popularity

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OpenCV

Distill Web Monitor

Data Science And Machine Learning
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Data Science And Machine Learning
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Monitoring Tools
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Monitoring Tools
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Data Science Tools
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Data Science Tools
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Website Monitoring
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Website Monitoring
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User comments

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Reviews

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

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

Distill Web Monitor Reviews

  1. Tarun Jain
    Great tool to keep track of competitor's website

    One of the best tools I have used to keep track of changes on my competitors website. I love the chrome extension and its ease of use.

    👍 Pros:    Advanced features|Easy to use|Chrome extension available|Sync across all my devices

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than Distill Web Monitor. While we know about 60 links to OpenCV, we've tracked only 2 mentions of Distill Web Monitor. 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.

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 / 29 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 month 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 / 6 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 / 7 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

Distill Web Monitor mentions (2)

  • looking for a specific software
    I haven't used any in recent years so I'm not up to speed with the pros/cons of each, but PageProbe, SiteDelta Watch, and Distill Web Monitor are a few to try. Source: about 3 years ago
  • App monitoring and reading parts of the screen
    I’ve had pretty good luck with the distill web monitor https://distill.io/apps/web-monitor. Source: about 4 years ago

What are some alternatives?

When comparing OpenCV and Distill Web Monitor, you can also consider the following products

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

Visualping - Visualping is the easiest to use website checker, webpage change monitoring, website change detector and website change alert software of the web. Read more about Visualping.

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

WebSite-Watcher - WebSite-Watcher detects website updates and highlights all changes in the text. WebSite-Watcher monitors web pages, password protected pages, disucssion forums and much more.

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

Wachete - Track web page changes and get notified. Free Sign-up. Have all data in one place

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