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Composer VS OpenCV

Compare Composer VS OpenCV and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Composer logo Composer

Composer is a tool for dependency management in PHP.

OpenCV logo OpenCV

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

Composer features and specs

  • Dependency Management
    Composer allows for easy and efficient management of PHP dependencies, ensuring that the correct versions are used and conflicts are minimized.
  • Autoloading
    Composer supports autoloading, which means you don't have to manually include or require files, reducing boilerplate code.
  • Version Control
    It allows developers to specify and install the exact versions of the libraries they need, which helps in maintaining consistency across different environments.
  • Community Support
    Composer has a vast and active community, resulting in a plethora of libraries and packages readily available for use.
  • PSR Compliance
    Composer adheres to PHP-FIG PSR standards, promoting best practices and interoperability among PHP projects.
  • Custom Repositories
    Ability to use custom repositories allows for flexibility, enabling enterprises to create their own repository for internal use.

Possible disadvantages of Composer

  • Learning Curve
    Beginners may find Composer overwhelming due to its command-line interface and the complexity of managing dependencies.
  • Performance
    Installing or updating packages can sometimes be slow, particularly for projects with many dependencies.
  • Dependency Conflicts
    While Composer aims to minimize conflicts, complex projects can still face issues with dependency resolution that require manual intervention.
  • File Size
    Projects using Composer can lead to increased file sizes due to the inclusion of multiple libraries and their dependencies.
  • Security
    Including third-party packages can expose a project to potential security vulnerabilities if those packages are not well-maintained or audited.

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.

Composer videos

+ Add

AI vs Human Music Composer 2019 - Orb Composer Review

More videos:

  • Review - Review Composer Cloud from EastWest / Soundsonline.com
  • Review - Behringer Composer PRO-XL MDX2600 Review (AUDIO TEST)

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Composer and OpenCV)

Composer

OpenCV

Development Tools
100 100%
Development Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Javascript UI Libraries
100 100%
Javascript UI Libraries
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 Composer and OpenCV

Composer 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.
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, Composer should be more popular than OpenCV. It has been mentiond 143 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.

Composer mentions (143)

  • Arguments a customer can understand not to use WordPress
    There is also no requirement to follow the PHP-FIG standards. The best thing that is build because of those standards is Composer. The most plugins I downloaded while writing use composer. The problem is that the plugins ship with their own vendor directory. While the standard is to have one vendor directory for the whole project. This results in different packages with the same or different version of it in the... - Source: dev.to / about 1 month ago
  • Insights from the PHP Foundation Executive Director
    “Extensions are now very close to being like packages; they basically look like Composer packages. It’s still open to discussion whether PIE will be part of Composer someday. It’s not decided yet, but I hope it will be,” Roman added. - Source: dev.to / about 1 month ago
  • PHP Core Security Audit Results
    Dependencies are managed by Composer (like npm, cargo, etc) for more than 10 years now. https://getcomposer.org. - Source: Hacker News / about 2 months ago
  • WordPress and Components
    Composer and Packagist have become key tools for establishing the foundations of PHP-based applications. Packagist is essentially a directory containing PHP code out of which Composer, a PHP-dependency manager, retrieves packages. Their ease of use and exceptional features simplify the process of importing and managing own and third-party components into our PHP projects. - Source: dev.to / 3 months ago
  • 2025 Best PHP Micro Frameworks: Slim, Flight, Fat-Free, Lumen, and More!
    Simplicity: Getting started is a breeze—install via Composer, define some routes, and you’re off. Scaling up? Add middleware or libs like Twig or Eloquent as needed. - Source: dev.to / 3 months ago
View more

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 / 13 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 27 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 Composer and OpenCV, you can also consider the following products

jQuery - The Write Less, Do More, JavaScript Library.

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

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.

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

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