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Kitty terminal VS OpenCV

Compare Kitty terminal VS OpenCV and see what are their differences

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Kitty terminal logo Kitty terminal

Super fast, GPU and OpenGL based terminal emulator with tiling support

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Kitty terminal Landing page
    Landing page //
    2023-06-21
  • OpenCV Landing page
    Landing page //
    2023-07-29

Kitty terminal features and specs

  • Performance
    Kitty is designed to be a fast and efficient terminal, with support for GPU rendering. This can provide smoother and quicker display updates, especially beneficial for intensive command-line tasks.
  • Features
    Kitty offers a rich set of features including support for tabs, multiple layouts, and extensions. It also supports features like ligatures, image display, and sixel graphics.
  • Customization
    Kitty is highly customizable, allowing users to modify key bindings, color schemes, and more through its comprehensive configuration files.
  • Remote Control
    Kitty provides a remote control framework, which allows users to script and control the terminal from the command line or other external programs.
  • Platform Support
    Kitty is available on multiple platforms including Linux, macOS, and Windows (through WSL), making it versatile for various operating systems.
  • Active Development
    The terminal is actively maintained by its developers, ensuring regular updates, bug fixes, and the addition of new features.

Possible disadvantages of Kitty terminal

  • Learning Curve
    Given its extensive feature set and customization options, there can be a steep learning curve for new users unfamiliar with its configuration and advanced features.
  • Configuration Complexity
    The extensive customization options, while powerful, can be overwhelming and may require a considerable amount of time to configure to a user's liking.
  • Font Support
    Although Kitty supports font ligatures and several other advanced font features, some users have reported occasional issues with font rendering and compatibility.
  • Resource Usage
    While designed for performance, the use of GPU rendering can mean higher resource usage compared to simpler terminals, which might be noticeable on older hardware.
  • Documentation
    Though extensive, the documentation can sometimes be challenging to navigate for new users, making it harder to find specific information or solutions to particular problems.
  • No Native Windows Support
    Kitty does not have native Windows support; it runs on Windows through the Windows Subsystem for Linux (WSL). This might not be ideal for users looking for a fully native Windows terminal experience.

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.

Kitty terminal videos

Kitty Is A Fast And Feature Rich Terminal Emulator

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Kitty terminal and OpenCV)
SSH
100 100%
0% 0
Data Science And Machine Learning
Terminal Tools
100 100%
0% 0
Data Science Tools
0 0%
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 Kitty terminal and OpenCV

Kitty terminal Reviews

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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.
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.

Social recommendations and mentions

Based on our record, Kitty terminal should be more popular than OpenCV. It has been mentiond 93 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.

Kitty terminal mentions (93)

  • Optimizing My Dev Workflow in 2025
    Initially, I used the Mac's built-in Terminal, but encountered issues with font loading. This led me to explore alternative terminal options. I initially chose Kitty, but after the official release of Ghostty, I made the switch. It has been running flawlessly for me. - Source: dev.to / about 1 month ago
  • iTerm2 Critical Security Fix
    Kitty (https://sw.kovidgoyal.net/kitty) has been my go to for many years and with tmux it's fantastic. I have heard a lot of great things about https://ghostty.org/ but haven't had a chance to check it out. - Source: Hacker News / 5 months ago
  • Preview images, videos, fonts, PDFs ... in Vifm.
    The terminal I am currently using is st but I have also tested this "Vifm" enhancement in kitty and alacritty. - Source: dev.to / 6 months ago
  • Show HN: Shpool, a Lightweight Tmux Alternative
    Oh, this might be the missing piece of the puzzle for me to get rid of tmux! I've been using screen/tmux for a long time. Recently I switched to kitty[0] locally. I like kitty a lot! But I've been stuck with tmux on my servers for session persistence. [0]: https://sw.kovidgoyal.net/kitty/. - Source: Hacker News / 11 months ago
  • Ask HN: What macOS apps/programs do you use daily and recommend?
    Besides the usual Firefox/Chrome, Spotify, etc I use the following: - Karabiner-Elements for key remapping, specifically, for making caps lock into ctrl/esc. I don't know of anything else that does this job. Everyone who remaps keys seems to use this. - Kitty as my terminal of choice. I spend most of my time logged in remotely to a server via ssh where I attach to a tmux session. Kitty was easy enough to... - Source: Hacker News / 12 months ago
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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 / 9 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 23 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 Kitty terminal and OpenCV, you can also consider the following products

wezterm - GPU-accelerated cross-platform terminal emulator and multiplexer made with Rust.

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

iTerm2 - A terminal emulator for macOS that does amazing things.

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

Tabby.sh - Tabby is a free and open source SSH, local and Telnet terminal with everything you'll ever need.

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