Software Alternatives, Accelerators & Startups

iTerm2 VS OpenCV

Compare iTerm2 VS OpenCV and see what are their differences

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iTerm2 logo iTerm2

A terminal emulator for macOS that does amazing things.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • iTerm2 Landing page
    Landing page //
    2018-10-29
  • OpenCV Landing page
    Landing page //
    2023-07-29

iTerm2 features and specs

  • Versatility
    iTerm2 supports a wide range of features such as split panes, multiple tab management, and hotkey-activated terminal windows, making it highly versatile for different workflows.
  • Customization
    Offers extensive customization options, including themes, color schemes, and key bindings, allowing users to tailor the terminal to their preferences.
  • Advanced Features
    Includes advanced functionality like instant replay, which allows users to rewind their terminal session, and integration with automation tools like AppleScript.
  • Performance
    Designed to be efficient and responsive, ensuring it performs well even with multiple sessions and tabs open simultaneously.
  • Integrations
    Seamless integration with macOS features such as native notifications, fullscreen mode, and support for external editors.
  • Community Support
    Active community and comprehensive documentation, which can be very helpful for troubleshooting and learning advanced configurations.

Possible disadvantages of iTerm2

  • Mac-Only
    iTerm2 is exclusive to macOS, which means users on other operating systems cannot utilize its features.
  • Complexity
    The sheer number of features and customization options can be overwhelming for beginners, requiring a learning curve to utilize efficiently.
  • System Resource Usage
    iTerm2 may consume more system resources compared to simpler terminal emulators, which could be a concern on lower-end hardware.
  • Update Frequency
    Occasional updates can introduce bugs or unexpected behavior, requiring users to adjust settings or find workarounds.

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.

iTerm2 videos

Customizing iterm2 with ZSH and PowerLevel9k | Z shell Tutorial

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to iTerm2 and OpenCV)
SSH
100 100%
0% 0
Data Science And Machine Learning
Server Management
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 iTerm2 and OpenCV

iTerm2 Reviews

  1. Useful

    I've had so many problems with terminal in my Mac.. thanks for this tool. It's like really useful

    ๐Ÿ‘ Pros:    Fast|Convenience|Fastest, safest, and cheapest
    ๐Ÿ‘Ž Cons:    None

MobaXterm for Mac: Best Alternatives to MobaXterm for Mac
You can choose a Hotkey and register it as a shortcut to open the iTerm2. When you are using other application, just press the Hotkey and it will bring iTerm (terminal) to the foreground of your screen. So the iTerm2 is the best alternative to MobaXterm for Mac which will be always available for you.
30 best PuTTY alternatives for SSH clients for 2020
The iTerm2 system is available for Macs. Specifically, the program can run on Mac OS 10.10 and higher. This interface shows different terminal sessions through a split screen method, allowing you to tile sessions side by side. To lessen confusion, the active panel shows in full resolution, while the others dimmed. You can set up keyboard shortcuts to navigate through the...

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, iTerm2 should be more popular than OpenCV. It has been mentiond 111 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.

iTerm2 mentions (111)

  • Must-have apps and services in 2024
    iTerm + fish. I wrote a post explaining my environment settings. - Source: dev.to / 6 months ago
  • Unavoidable developer tools
    ๐ŸŽ macOS: The default Terminal.app is widely used, but iTerm2 is often preferred for its rich feature set and customization options. - Source: dev.to / 7 months ago
  • Ask HN: How can I experiment with LLMs with a old machine?
    Make yourself comfortable with https://blogs.oracle.com/database/post/freedom-to-build-announcing-oracle-cloud-free-tier-with-new-always-free-services-and-always-free-oracle-autonomous-database https://gist.github.com/rssnyder/51e3cfedd730e7dd5f4a816143b25dbd https://www.reddit.com/r/oraclecloud/ or any other offer. Deploy some minimal Linux on them, or use what's offered. Plus optionally, if you don't want to... - Source: Hacker News / 8 months ago
  • Honukai Color Theme Goes IDE
    Honukai has long been my favorite iTerm, Oh My ZSH color theme, and I just assumed it existed for other use cases. But alas, I had to create them for myself. I adapted Oskar's work for Tabby terminal, ZED IDE and VS Code. You can get the files here. - Source: dev.to / 8 months ago
  • (Youtube blogpost) Building Tree Link app with Svelte and Tailwind CSS
    iTerm2 is a fast terminal emulator for macOS. Install one of Nerd Fonts for displaying fancy glyphs on your terminal. My current choice is Hack. And use it on your terminal app. For example, on iTerm2:. - Source: dev.to / 9 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 iTerm2 and OpenCV, you can also consider the following products

MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools 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.

PuTTY - Popular free terminal application. Mostly used as an SSH client.

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

KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.

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