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OpenCV VS PublicAPIs

Compare OpenCV VS PublicAPIs and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

PublicAPIs logo PublicAPIs

Explore the largest API directory in the galaxy
  • OpenCV Landing page
    Landing page //
    2023-07-29
Not present

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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.

PublicAPIs features and specs

  • Wide Variety
    PublicAPIs provides access to a broad range of APIs across different categories, making it easier for developers to find the APIs they need for various applications.
  • Centralized Resource
    Having a centralized resource for public APIs helps developers save time by not having to search multiple sources to find the API they need.
  • Free Access
    Many of the APIs listed on PublicAPIs are free to use, making it accessible for developers who may be working with limited budgets or on hobby projects.
  • API Documentation
    PublicAPIs often includes links to detailed documentation for each API, providing developers with the information they need to integrate and utilize the APIs effectively.
  • Community Contributions
    PublicAPIs allows for community contributions, enabling a mechanism for the API repository to grow and stay up-to-date with the latest APIs.

Possible disadvantages of PublicAPIs

  • Quality Variability
    The quality of APIs listed can vary significantly, with some being well-maintained and others potentially outdated or lacking comprehensive documentation.
  • Limited Support
    PublicAPIs itself does not usually offer support for the APIs listed, which can be a disadvantage if developers encounter issues and need assistance.
  • Dependency on Third-Party Reliability
    Developers depend on third-party providers' reliability and uptime, which can affect the performance and stability of their own applications.
  • Potential Security Risks
    Using third-party APIs can introduce security vulnerabilities, especially if the APIs are not from trusted sources or if they do not follow best security practices.
  • Rate Limits
    Many public APIs impose rate limits, which can restrict the number of API calls a developer can make within a given time frame, potentially impacting application performance.

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

Analysis of PublicAPIs

Overall verdict

  • PublicAPIs is generally considered good due to its wide selection of APIs, ease of access, and the ability to discover new tools and services. Its open-access nature encourages creativity and rapid prototyping.

Why this product is good

  • PublicAPIs is a beneficial resource as it provides a curated list of freely available APIs for developers. It helps accelerate development by offering access to a diverse range of APIs, from weather and finance to gaming and machine learning. This can be particularly useful for both learning purposes and developing projects without the need for substantial investment in proprietary APIs.

Recommended for

  • Developers looking for free or open APIs to integrate into their projects.
  • Students and educators who need practical API examples for teaching and learning.
  • Startups and hobbyists seeking to build prototypes without incurring additional costs.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

PublicAPIs videos

No PublicAPIs videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OpenCV and PublicAPIs)

OpenCV

PublicAPIs

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
APIs
0 0%
APIs
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Web App
0 0%
Web App
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 OpenCV and PublicAPIs

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

PublicAPIs Reviews

We have no reviews of PublicAPIs yet.
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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.

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 / 29 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 / 6 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

PublicAPIs mentions (0)

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

What are some alternatives?

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

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

API List - A collective list of APIs. Build something.

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

Abstract APIs - Simple, powerful APIs for everyday dev tasks

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

The Unsplash API - No-limits, do-what-you-want API for access to 200K+ HD pics.

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