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Embedly VS OpenCV

Compare Embedly VS OpenCV and see what are their differences

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Embedly logo Embedly

Embedly helps publishers and consumers manage embed codes from websites and APIs.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Embedly Landing page
    Landing page //
    2021-09-21
  • OpenCV Landing page
    Landing page //
    2023-07-29

Embedly features and specs

  • Ease of Use
    Embedly provides a simple API that allows developers to embed content from a wide variety of sources with minimal effort.
  • Content Versatility
    Supports embedding content from many major providers such as YouTube, Instagram, Twitter, and more, enhancing the versatility of web content.
  • Customization
    Offers customizable embed options so developers can tailor the appearance and behavior of the embedded content to fit their needs.
  • Aggregated Data
    Provides enriched metadata from embedded content, which could be useful for SEO and content analysis.
  • Cross-Platform Support
    Embeds are responsive and work well across different devices and platforms, providing a consistent user experience.

Possible disadvantages of Embedly

  • Cost
    Embedly offers a freemium model, but the free tier has limitations, and the premium plans can be expensive for small businesses or individual developers.
  • Dependency
    Relying on a third-party service means developers are dependent on Embedly for uptime and performance, which could be a potential risk if the service experiences issues.
  • Privacy Concerns
    Using Embedly means sharing data with a third-party service, which could raise privacy concerns depending on the type of content being embedded.
  • Limitations in Custom Sources
    While Embedly supports many major providers, it may not support lesser-known or niche content sources, which could be a drawback for certain use cases.
  • API Rate Limits
    The API has rate limits even on premium plans, which could be restrictive for high-traffic websites or applications requiring extensive embedding.

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.

Analysis of Embedly

Overall verdict

  • Embedly is generally considered a good option for content embedding due to its comprehensive API and ease of use.

Why this product is good

  • Embedly provides a robust platform that allows developers to easily embed multimedia content from a wide range of sources. The service simplifies the process of extracting and displaying content such as images, videos, and articles by providing a unified API. It supports a vast number of providers and offers customization options, making it a flexible tool for developers. Additionally, Embedly delivers content in a mobile-optimized way, ensuring a better user experience across different devices.

Recommended for

  • Developers looking to integrate multimedia content into websites or applications
  • Content creators and publishers who want to enrich their platforms with external content
  • Web and mobile app developers needing a simple solution for embedding content from multiple sources

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

Embedly videos

+ Add

Tips On Embedding In Blogs And Websites Using Embedly

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Embedly and OpenCV)

Embedly

OpenCV

Advertising
100 100%
Advertising
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Content Marketing
100 100%
Content Marketing
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 Embedly and OpenCV

Embedly 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, OpenCV should be more popular than Embedly. 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.

Embedly mentions (13)

  • Automod remove videos less than 1second long?
    You can see what kinds of properties you can see for media - I fed the URL of a video into embed.ly as that document suggested, but none of the fields returned gave me a video length... You may want to try with one of the images posted to your sub and see what properties you get. Maybe there's something else in the metadata you can search for that is common across the short videos. Source: over 1 year ago
  • Embedding videos on reddit
    Some people report success with getting approved by https://embed.ly/, others report that service never responded to them. Source: almost 2 years ago
  • free-for.dev
    Embed.ly — Provides APIs for embedding media in a webpage, responsive image scaling, extracting elements from a webpage. Free for up to 5,000 URLs/month at 15 requests/second. - Source: dev.to / over 2 years ago
  • How to ban specific YouTube links?
    Use https://embed.ly to extract the MEDIA_AUTHoR or MEDIA_AUTHOR_URL from the link and add it to either of the 2 rules below. Source: over 2 years ago
  • How does Reddit embed “unavailable” Youtube videos? (example included)
    If you pull up that script, it references "cdn.embedly.com", a third-party content delivery network. See their home page at https://embed.ly/. Source: about 3 years 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 / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months 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 / 9 months ago
View more

What are some alternatives?

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

uberflip - Organize and Centralize ALL of your Content in minutes

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

CoSchedule - CoSchedule is the #1 marketing calendar that helps you stay organized and get sh*t done. Plan, produce, publish and promote your content.

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

Rocketium - A DIY video creation platform. Make videos in minutes using preset themes and templates.

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

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