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Atlassian Design VS OpenCV

Compare Atlassian Design VS OpenCV and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
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Atlassian Design logo Atlassian Design

Design, develop, and deliver

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Atlassian Design Landing page
    Landing page //
    2023-06-22
  • OpenCV Landing page
    Landing page //
    2023-07-29

Atlassian Design features and specs

  • Comprehensive Design System
    Atlassian Design provides a complete and consistent design system for building applications, which helps ensure user interfaces are coherent and professional.
  • Access to Components
    It offers a wide range of pre-built UI components that can be easily integrated into projects, saving time in the development process.
  • Documentation
    Extensive and detailed documentation is available, which helps developers and designers understand how to use the system effectively.
  • Consistency
    Ensures that all components and patterns follow the same design principles, resulting in a more consistent user experience across different products.
  • Community Support
    Being a part of the broader Atlassian community means that there is a wealth of shared knowledge and resources available to help solve common problems.

Possible disadvantages of Atlassian Design

  • Learning Curve
    For new users, especially those not familiar with Atlassian products, the system can have a steep learning curve.
  • Customization Limitations
    While it provides many components, customization options might be limited for more unique or advanced use cases.
  • Dependency
    Relying heavily on Atlassian's design system means that changes or updates from Atlassian can impact your products, necessitating continuous adaptation.
  • Performance
    Using a large number of pre-built components might affect the performance of your application, especially if all components are not optimized for your specific use case.
  • Integration Complexity
    Integrating Atlassian Design with other systems or legacy codebases may require additional effort and potentially complex workarounds.

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 Atlassian Design

Overall verdict

  • Yes, Atlassian Design is generally regarded as a good design system. Its emphasis on clarity, usability, and consistency makes it highly effective for teams looking to create seamless and user-friendly experiences.

Why this product is good

  • Atlassian Design is considered good because it provides a comprehensive and cohesive design system that ensures consistency across Atlassian's products. It is well-documented, user-focused, and continually updated to align with modern design trends and user needs. The platform offers a collection of guidelines, components, and patterns that facilitate the creation of intuitive and accessible user interfaces.

Recommended for

  • UI/UX Designers working on Atlassian products
  • Teams seeking guidance on design consistency
  • Product managers who prioritize a cohesive user experience
  • Developers implementing design systems
  • Design teams looking for a robust design framework

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

Atlassian Design videos

+ Add

5 things our users want from the Atlassian Design System

More videos:

  • Review - Atlassian Design Week 2017

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Atlassian Design and OpenCV)

Atlassian Design

OpenCV

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Color Palette Generator
100 100%
Color Palette Generator
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 Atlassian Design and OpenCV

Atlassian Design Reviews

We have no reviews of Atlassian Design yet.
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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 Atlassian Design. 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.

Atlassian Design mentions (12)

  • Top 5 Drag-and-Drop Libraries for React
    As the official evolution of react-beautiful-dnd, this library also comes with extensible accessibility features right out of the box. The default assistive controls are based on the Atlassian Design System, so if you’re already using that, integration will be seamless. But if you aren’t, you can easily replace those components with your own, or completely redefine how accessibility is provided and take a more... - Source: dev.to / 3 months ago
  • Getting Started with Color Module for Your Design System
    Atlassian Design System: Atlassian's Design System encompasses a color module encompassing primary, secondary, and functional colors, along with an extended palette for shades and tints. The system provides comprehensive guidelines for effective color usage and emphasizes accessibility. - Source: dev.to / over 1 year ago
  • Making a UI Kit. Is there a good checklist for Must Have elements?
    Atlassian design system: https://atlassian.design/. Source: about 2 years ago
  • What's the best way to encapsulate a feature to make it reusable?
    Regarding discoverability, you could build a directory with documentation. Similarly to how design systems are documented, e.g: https://atlassian.design/ But if you really want to share them you'll probably need to evangelize it somehow. Source: about 2 years ago
  • UI Design Roadmap 2023
    Step 5: Study design system Atlassian design system Primer design system Spectrum, Adobe’s design system Carbon design system. - Source: dev.to / over 2 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 / 16 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 29 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 / 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

What are some alternatives?

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

Design Principles - An open source repository of design principles and methods

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

Colorbox.io - Create accessible color systems 🎨

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

Facebook Design - Resources for Designers from the Facebook Design team

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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