Software Alternatives, Accelerators & Startups
Register | Login

OpenCV VS Emscripten

Compare OpenCV VS Emscripten and see what are their differences

Warmup Inbox
Warmup Inbox is a tool that automates the process of warming up your email inboxes, raising your sender reputation and inbox health automatically. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Emscripten logo Emscripten

Emscripten is an LLVM to JavaScript compiler.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Emscripten Landing page
    Landing page //
    2021-08-02

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.

Emscripten features and specs

  • Cross-platform compatibility
    Emscripten enables developers to compile C and C++ code to WebAssembly or JavaScript, allowing the same codebase to run on multiple platforms, such as browsers and node.js, without needing additional platform-specific adaptations.
  • Leverage existing libraries
    Developers can utilize a vast ecosystem of existing C and C++ libraries by compiling them for the web, saving time and resources required for rewriting or finding alternatives developed in JavaScript.
  • Performance optimization
    Emscripten's compilation to WebAssembly provides near-native performance for web applications, making it suitable for compute-intensive tasks like gaming, simulations, and data processing.
  • Familiar toolchain
    Developers can use familiar tools like CMake and others as part of their Emscripten workflow, making it easier for those with C/C++ backgrounds to adapt and integrate into their web development processes.

Possible disadvantages of Emscripten

  • Steep learning curve
    Developers unfamiliar with C and C++ may find Emscripten challenging to use effectively, as it requires knowledge of these languages and their build systems to create and debug applications.
  • Limitations in browser environments
    Certain features of C/C++ may not translate directly to web environments due to browser sandboxing constraints, leading to potential issues with file I/O, threading, and other system-level operations.
  • Code size
    Compiled WebAssembly and JavaScript code can sometimes be large, potentially affecting load times and performance, especially on lower-end devices with restrictive bandwidth or processing capabilities.
  • Debugging complexity
    Debugging WebAssembly code can be more complex than traditional JavaScript, requiring specialized tooling and techniques to trace and fix issues effectively.

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

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Emscripten videos

+ Add

Monster Madness Online (Emscripten Web Technology Overview)

Category Popularity

0-100% (relative to OpenCV and Emscripten)

OpenCV

Emscripten

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IDE
0 0%
IDE
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Email Marketing
0 0%
Email Marketing
100% 100

User comments

Share your experience with using OpenCV and Emscripten. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenCV and Emscripten

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

Emscripten Reviews

We have no reviews of Emscripten yet.
Be the first one to post

Social recommendations and mentions

OpenCV might be a bit more popular than Emscripten. We know about 60 links to it since March 2021 and only 47 links to Emscripten. 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 / 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

Emscripten mentions (47)

  • Ask HN: Qt style "Signals and Slots" based JavaScript UI library?
    The first thing that comes to mind is that Qt now has a WebAssembly port[1] using Emscripten[2], so depending on your use-case, you could possibly just run Qt on the Web platform and avoid the need for a JavaScript framework entirely. [1]: https://doc.qt.io/qt-5/wasm.html [2]: https://emscripten.org. - Source: Hacker News / about 2 months ago
  • Ask HN: Resources for Learning Graphics Programming
    Me and a friend build our own Graphics engines based on https://learnopengl.com I can highly recommend this to everyone who gets started with computer graphics. It is a lot of new information but not the most modern Graphics library, but the information will help you understand the field and pickup any other graphics library quicker. Once I had a small project up and running I started looking at... - Source: Hacker News / 9 months ago
  • Software Applications Incorporated
    Https://infinitemac.org, which is https://basilisk.cebix.net compiled for the web using https://emscripten.org. - Source: Hacker News / over 1 year ago
  • How does one get started with unit testing?
    One place that I’ve found some real, open source unit tests to look at for an example is in the emsdk for emscripten: https://emscripten.org. Source: over 1 year ago
  • Playing with low-level memory in WebAssembly
    I am playing around with Emscipten which wraps around clang to compile C/C++ code in WASM binary and provide some glue-code API to embed WASM binary into JavaScript. Look into MDN Docs and Emscripten SDK to get started. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing OpenCV and Emscripten, 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.

WebAssembly - Application and Data, Languages & Frameworks, and Languages

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

GNU Compiler Collection - The GNU Compiler Collection (GCC) is a compiler system produced by the GNU Project supporting...

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

Cheerp - Enterprise-grade C/C++ compiler for Web applications. Compiles to WASM/JavaScript

Loading...