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Oh My Zsh VS OpenCV

Compare Oh My Zsh VS OpenCV and see what are their differences

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Oh My Zsh logo Oh My Zsh

A delightful community-driven framework for managing your zsh configuration.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Oh My Zsh Landing page
    Landing page //
    2023-09-19
  • OpenCV Landing page
    Landing page //
    2023-07-29

Oh My Zsh features and specs

  • Plugin Ecosystem
    Oh My Zsh offers a wide variety of plugins that extend the functionality of your shell, including git integration, syntax highlighting, and auto-suggestions.
  • Themes
    It provides a rich collection of themes that allow you to customize the look and feel of your terminal, making it visually appealing and easier to use.
  • Community Support
    With a large, active community, users can find a wealth of resources, tutorials, and support for troubleshooting and expanding their Zsh configuration.
  • Ease of Use
    Oh My Zsh simplifies the management of Zsh configurations through a straightforward installation process and easy-to-use commands for adding and removing plugins and themes.
  • Highly Configurable
    Even though it simplifies many aspects of Zsh, Oh My Zsh still allows for deep customization tailored to individual workflow needs.

Possible disadvantages of Oh My Zsh

  • Performance Overheads
    Using Oh My Zsh can slow down shell startup time, especially if many plugins or a complex theme are enabled.
  • Over-reliance on Plugins
    Users may become dependent on Oh My Zsh's extensive plugin system, which could discourage them from learning and understanding native Zsh scripting.
  • Potential for Conflicts
    Adding multiple plugins and custom scripts can lead to conflicts and bugs, making the shell environment unstable or unpredictable.
  • Large Install Size
    The framework with all its plugins and themes can take up a significant amount of disk space, which may be a consideration for users with limited storage.
  • Updates and Maintenance
    Regular updates are necessary to keep the system secure and up-to-date, which can be a hassle for users who prefer a 'set it and forget it' approach.

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.

Oh My Zsh videos

+ Add

You Really Don't Need Oh My Zsh And Here's Why (Rant)

More videos:

  • Review - Working with Linux - Terminal, Zsh & Oh My Zsh
  • Review - Uninstall Oh My ZSH Right Now And Do This Instead

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

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Oh My Zsh

OpenCV

Developer Tools
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Developer Tools
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Data Science And Machine Learning
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Data Science And Machine Learning
100% 100
Programming
100 100%
Programming
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Data Science Tools
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Data Science Tools
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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 Oh My Zsh and OpenCV

Oh My Zsh Reviews

  1. Stan
    · Founder at SaaSHub ·
    Indispensable

    This has become an indispensable tool for me. One of the first thing to install on a new computer.

    🏁 Competitors: GNU Bourne Again SHell, fish shell

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

Oh My Zsh might be a bit more popular than OpenCV. We know about 74 links to it since March 2021 and only 59 links to OpenCV. 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.

Oh My Zsh mentions (74)

  • Installing Terraform
    To start this re-learning journey, I feel like I should start with setting up a VPC on my AWS account. I already have an account so I will not be writing about that. However, since I want to do all of this via IaC, I need to setup Terraform. Luckily for me, this is a new laptop so I have nothing setup on it, besides iTerm2. Btw, I am using https://ohmyz.sh/ for my shell, so shout out to that team. This is what... - Source: dev.to / 18 days ago
  • Bash vs. Zsh: Key differences and when to use each
    Oh My Zsh is an open-source Zsh framework used to add extra functionalities for Zsh, turbocharging the entire Zsh user experience. Oh My Zsh’s extra advanced features cause users who frequently use the terminal to gravitate towards Zsh. - Source: dev.to / about 2 months ago
  • Switching from tmux to Zellij
    That's it! Happy CLI mastery with Zellij, Oh My zsh and Alacritty! - Source: dev.to / 2 months ago
  • The easiest way to set up and configure your AWS CLI
    If you are using Oh My ZSH as your shell of choice, you can add plugins=(... Aws ) to your .zshrc / profile and besides having autocomplete for the AWS CLI you will also immediately see in the terminal window what is the current AWS profile you are logged in. - Source: dev.to / 3 months ago
  • My Terminal Setup for 2025 🚀
    ZSH and Oh My ZSH offer superpowers to your terminal thanks to its customization and wide variety of plugins. - Source: dev.to / 4 months ago
View more

OpenCV mentions (59)

  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 8 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 / 4 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 / 7 months ago
  • Built in Days, Acquired for $20K: The NuloApp Story
    First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Oh My Zsh and OpenCV, you can also consider the following products

Prezto - Prezto is the configuration framework for Zsh; it enriches the command line interface environment...

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

Starship (Shell Prompt) - Starship is the minimal, blazing fast, and extremely customizable prompt for any shell! Shows the information you need, while staying sleek and minimal. Quick installation available for Bash, Fish, ZSH, Ion, and Powershell.

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

Antigen - The plugin manager for zsh.

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

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