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OpenCV VS StackEdit

Compare OpenCV VS StackEdit and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

StackEdit logo StackEdit

Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • StackEdit Landing page
    Landing page //
    2024-12-08

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

StackEdit features and specs

  • Markdown Support
    StackEdit offers robust support for Markdown, allowing for efficient and straightforward text formatting and editing.
  • Offline Access
    Users can work on their documents offline, making it convenient for use in areas with limited or no internet connectivity.
  • Synchronization
    StackEdit can be synchronized with various cloud storage services like Google Drive and Dropbox, enabling easy access and backup.
  • Collaboration
    The platform supports real-time collaboration, which is useful for teams working on a document simultaneously.
  • Integrated Editor
    It includes a feature-rich Markdown editor with a live preview, which helps users see the formatted version of their text as they type.

Possible disadvantages of StackEdit

  • Learning Curve
    Users unfamiliar with Markdown may find it initially challenging to use all of StackEdit's features effectively.
  • Limited Export Options
    While it does support exporting to HTML, PDF, and a few other formats, the export options may be limited compared to other markdown editors.
  • Performance
    Some users might experience performance issues with large documents or when using the application for extended periods.
  • Requires Signup for Full Features
    To access all features, such as cloud synchronization and import/export options, users need to sign up for an account.
  • Dependency on Internet for Sync
    While offline editing is a plus, syncing documents still requires an internet connection, which may be inconvenient for some users.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

StackEdit videos

+ Add

StackEdit - Write Markdown on Google Drive

More videos:

  • Review - StackEdit éditeur puissant de Markdown en ligne 💪

Category Popularity

0-100% (relative to OpenCV and StackEdit)

OpenCV

StackEdit

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Markdown Editor
0 0%
Markdown Editor
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 StackEdit

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

StackEdit Reviews

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

Social recommendations and mentions

OpenCV might be a bit more popular than StackEdit. We know about 60 links to it since March 2021 and only 51 links to StackEdit. 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 / 11 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 25 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

StackEdit mentions (51)

  • If it is worth keeping, save it in Markdown
    Https://daringfireball.net/projects/markdown/syntax#philosophy "Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions." Any text editor (Notepad, TextPad, (neo)vi(m), Emacs, TextMate, Apostrophe, GhostWriter, Typora, etc.) will do. Markdown-specific editors have either a real-time preview or the ability to edit as... - Source: Hacker News / 3 months ago
  • 100+ Must-Have Web Development Resources
    StackEdit: An open-source, free Markdown editor based on PageDown. - Source: dev.to / 7 months ago
  • Markdown as Fast as Possible
    Alternatively, you can use an online markdown editor like StackEdit or HackMD. - Source: dev.to / over 1 year ago
  • Good Notes App?
    Use https://stackedit.io/ in the browser :). Source: over 1 year ago
  • Vrite Editor: Open-Source WYSIWYG Markdown Editor
    Markdown is awesome! But, when writing 1000 words+ articles, I quickly feel the need for a better experience. For years, I’ve used StackEdit — an open-source, in-browser Markdown editor — for editing all kinds of long-format Markdown text. That said, given my recent experience with WYSIWYG editors, I thought I could do something better. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing OpenCV and StackEdit, 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.

Typora - A minimal Markdown reading & writing app.

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

Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber

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

MarkdownPad - MarkdownPad is a full-featured Markdown editor for Windows. Features:

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