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Listary VS OpenCV

Compare Listary VS OpenCV and see what are their differences

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Listary logo Listary

Listary is a revolutionary search utility for Windows

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Listary Landing page
    Landing page //
    2021-09-22
  • OpenCV Landing page
    Landing page //
    2023-07-29

Listary features and specs

  • Quick File Search
    Listary offers a very fast file search functionality, enabling users to find files and folders quickly with real-time indexing.
  • Intuitive Interface
    The interface is user-friendly and easy to navigate, making it accessible even for users with minimal technical expertise.
  • Integration with Other Applications
    Listary integrates seamlessly with a variety of other applications like Total Commander, Directory Opus, and even Windows Explorer, enhancing its utility.
  • Customizable Hotkeys
    Users can assign custom hotkeys to streamline their workflow and access Listary features more rapidly.
  • Supports Various File Managers
    It supports multiple file managers, providing flexibility for users who prefer alternatives to Windows File Explorer.
  • Efficient Navigation
    Provides quick access to recent folders and files, saving time and improving efficiency.

Possible disadvantages of Listary

  • Limited Free Version
    The free version of Listary has limited features, pushing users towards purchasing the Pro version for full functionality.
  • Windows-Only
    Listary is only available for Windows, restricting its use for those who use other operating systems such as macOS or Linux.
  • Learning Curve
    Despite its intuitive interface, some users may require time to learn and adapt to all of Listary's features and customizations.
  • Occasional Bugs
    Some users have reported occasional bugs and crashes, which can affect productivity and user experience.
  • Limited Updates
    Updates and new features are not as frequent, which could slow down the improvement and evolution of the software.

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.

Analysis of Listary

Overall verdict

  • Listary is considered a valuable tool for users who work extensively with files and need to streamline their workflow. Overall, it is praised for its speed, ease of use, and thoughtful features.

Why this product is good

  • Listary is well-regarded for its ability to enhance productivity by providing quick access to files and folders, and its powerful search functionalities. It integrates seamlessly with Windows Explorer and other file managers, making it a versatile tool for users who need efficient file navigation. The software also offers a customizable interface and various shortcuts, which save time and effort.

Recommended for

    Listary is especially beneficial for professionals, such as developers, IT workers, and power users, who require quick file access and improved search capabilities. It's also useful for any Windows user looking to enhance their system's file management efficiency.

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

Listary videos

+ Add

Listary - App Launcher for Windows

More videos:

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Listary and OpenCV)

Listary

OpenCV

Productivity
100 100%
Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
App Launcher
100 100%
App Launcher
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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

Listary Reviews

  1. bitelse
    Great one!

    After a few years I still use Listary as my main search/launcher. It's very quick, has a very nice look and great system of filters and projects. There are problem with new version to be released, but I'm talking about version number 5.

    👍 Pros:    Lightweight|Quick and easy|Amazing speed|Beautiful search experience
    👎 Cons:    More style
7 Best Alfred Alternatives To Maximize Your Productivity
Listary is a file management system that helps you search for files and launch applications faster. It allows you to stop spending time sifting through folders on your computers for files you need.
Source: blaze.today
6 Best Alfred App Alternatives for Windows to Be More Productive
Where Everything will help you find and open almost all files, system or user, on Windows, Listary will do the same for apps. So what’s the big deal, you ask? Listary allows you to create handy keyboard shortcuts to search the web, open specific apps, and perform simple tasks. Listary also acts as a powerful file search and management utility making it a more rounded option....
Source: techwiser.com

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 seems to be more popular. 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.

Listary mentions (0)

We have not tracked any mentions of Listary yet. Tracking of Listary recommendations started around Mar 2021.

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 / 27 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 / 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 / 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

What are some alternatives?

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

Keypirinha - A lightning fast and flexible keystroke launcher for Windows. No installation required (portable).

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

Alfred - Alfred is an award-winning app for macOS which boosts your efficiency with hotkeys, keywords, text expansion and more. Search your Mac and the web, and be more productive with custom actions to control your Mac.

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

Wox - An effective launcher for windows. A full-featured launcher, access programs and web contents as you type. Be more productive ever since. Wox is free for use and open-sourced at Github, Try it now! Download .

Pandas - 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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