Software Alternatives, Accelerators & Startups

Stylus VS OpenCV

Compare Stylus VS OpenCV and see what are their differences

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.

Stylus logo Stylus

EXPRESSIVE, DYNAMIC, ROBUST CSS

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Stylus Landing page
    Landing page //
    2023-03-20

Stylus is a revolutionary new language, providing an efficient, dynamic, and expressive way to generate CSS. Supporting both an indented syntax and regular CSS style.

  • OpenCV Landing page
    Landing page //
    2023-07-29

Stylus features and specs

  • Simplified Syntax
    Stylus provides an optional semicolon-free and curly-brace-free syntax, making the code cleaner and easier to write.
  • Extensive Feature Set
    Stylus offers a wide range of features like mixins, nesting, variables, functions, and built-in functions, which increase its flexibility and power.
  • Preprocessor Enhancements
    Stylus includes advanced features that are not available in CSS alone, such as mathematical operations, conditionals, and loops, which can make stylesheets more dynamic and maintainable.
  • JavaScript Interoperability
    Stylus allows embedding of JavaScript expressions and logic directly within the stylesheets, providing developers with additional functionality and control.

Possible disadvantages of Stylus

  • Learning Curve
    The flexibility and multitude of features in Stylus can introduce complexity, making it harder for beginners to grasp quickly compared to more straightforward CSS preprocessors.
  • Less Popularity
    Stylus is less popular than other preprocessors like Sass or LESS, which might result in fewer learning resources, community support, and third-party tools.
  • Potential for Overuse
    The advanced features could lead developers to overuse them, resulting in overly complex code that is difficult to maintain and understand.
  • Build Tool Dependencies
    Integration of Stylus into a project generally requires additional build tools and configurations, which can add to the setup and maintenance overhead.

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 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

Stylus videos

Best stylus for iPhone! Don't waste your money!

More videos:

  • Review - What is the best iPad stylus?
  • Review - Review: MEKO 2-in-1 Stylus (2nd Gen)

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Stylus and OpenCV)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Browser Extension
100 100%
0% 0
Data Science Tools
0 0%
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 Stylus and OpenCV

Stylus Reviews

112 Best Chrome Extensions You Should Try (2021 List)
Stylus offers functionality to install and write themes. It is an open-source community-driven extension that makes it much better than its counterparts. Using Stylus, you can install themes from popular repositories, backup your installed styles, and much more. Watch the above video to learn more about Stylus.

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.
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.

Social recommendations and mentions

Based on our record, OpenCV should be more popular than Stylus. 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.

Stylus mentions (14)

  • 100+ Must-Have Web Development Resources
    Stylus: Provides a more efficient and elegant way to generate CSS. - Source: dev.to / 8 months ago
  • 33 front-end development tools developers use in 2024
    Sass, Less and Stylus, extends CSS by adding variables, nesting mixins, and other features. It's an excellent solution for organizing huge and complex stylesheets. - Source: dev.to / 12 months ago
  • BEM Modifiers in Pure CSS Nesting
    I hate preprocessors. Be it SASS, SCSS, LESS, Stylus, or any other. Really, without any exceptions. Though, I think my hatred for preprocessors is not because of the technology itself, but because of how other people use them. Throughout my development career, I have often encountered tickets where a seemingly simple task, like changing the text size, which should take minutes, ended up taking me hours. This is... - Source: dev.to / about 1 year ago
  • Future of CSS: Functions and Mixins
    Traditionally CSS lacked features such as variables, nesting, mixins, and functions. This was frustrating for Developers as it often led to CSS quickly becoming complex and cumbersome. In an attempt to make code easier and less repetitive CSS pre-processors were born. You would write CSS in the format the pre-processor understood and, at build time, you'd have some nice CSS. The most common pre-processors these... - Source: dev.to / over 1 year ago
  • Quick Guide To CSS Preprocessors
    The Stylus is built on Node.js. It differs from Sass and Less, which are more opinionated to the syntax; the stylus allows you to omit semicolons, colons, and braces if you want at any time. Another cool feature is that the stylus has a property lookup feature. You can do that easily if you set property X relative to property Y's value. The stylus can be more concise because of its flexibility, but it depends on... - Source: dev.to / over 2 years ago
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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
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What are some alternatives?

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

Sass - Syntatically Awesome Style Sheets

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

Dark Reader - Reduce eye strain in your browser with this extension that provides a dark theme for browsing.

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

PostCSS - Increase code readability. Add vendor prefixes to CSS rules using values from Can I Use. Autoprefixer will use the data based on current browser popularity and property support to apply prefixes for you.

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