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Flutter VS OpenCV

Compare Flutter VS OpenCV and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Flutter logo Flutter

Build beautiful native apps in record time 🚀

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Flutter Landing page
    Landing page //
    2021-12-14
  • OpenCV Landing page
    Landing page //
    2023-07-29

Flutter features and specs

  • Cross-Platform Development
    Flutter allows you to create applications that run on multiple platforms, including iOS, Android, web, and desktop, using a single codebase, thereby significantly reducing development time and effort.
  • Hot Reload
    The Hot Reload feature allows developers to see the results of their code changes almost instantly without a full restart, boosting productivity and making the debugging process more efficient.
  • Rich Set of Pre-Built Widgets
    Flutter offers a comprehensive collection of customizable widgets that follow modern design guidelines, allowing developers to build attractive and consistent UIs effortlessly.
  • Performance
    Flutter applications are compiled directly to native ARM code, which can result in superior performance comparable to native applications.
  • Strong Community Support
    As an open-source project, Flutter has a large and active community, providing abundant resources, third-party libraries, and plugins to accelerate development.

Possible disadvantages of Flutter

  • Large App Size
    Flutter apps tend to have a larger file size compared to native apps, which could be a concern for users with limited storage space or slow internet connections.
  • Limited Ecosystem
    While Flutter is growing rapidly, its ecosystem is not yet as mature as those of more established frameworks, meaning that certain third-party libraries, tools, and plugins might be lacking or underdeveloped.
  • Platform-Specific APIs
    Despite its cross-platform capabilities, Flutter may require the development of custom platform-specific code for certain functionalities, which could complicate the development process.
  • Learning Curve
    Flutter uses Dart, a programming language that is less commonly used compared to JavaScript, Java, or Swift, which may result in a steeper learning curve for new developers.
  • State Management Complexity
    Managing states effectively in large applications can be challenging in Flutter, potentially leading to convoluted code if not handled properly.

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 Flutter

Overall verdict

  • Flutter is generally considered to be a good framework, particularly for developers who prioritize building cross-platform applications with a consistent look and feel across devices. Its performance is comparable to native applications, and its flexibility and ease of use make it a worthy choice for both beginners and experienced developers.

Why this product is good

  • Flutter is a UI toolkit developed by Google that allows developers to create natively compiled applications for mobile, web, and desktop from a single codebase. Its primary strengths include fast development cycles enabled by features like hot reload, a rich set of pre-designed widgets that follow Google's Material Design guidelines, and its use of Dart language which offers excellent performance. Furthermore, Flutter has a strong community and backing by Google, ensuring regular updates and long-term support.

Recommended for

  • Developers looking to create applications for multiple platforms from a single codebase.
  • Those who appreciate material design and need a rich set of customizable widgets.
  • Teams that value rapid iteration and hot reload features for quicker testing and updates.
  • Projects that require good community support and regular updates from a major tech company.

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

Flutter videos

+ Add

beginning of flutter youtube channel

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Flutter and OpenCV)

Flutter

OpenCV

Development Tools
100 100%
Development Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
100 100%
Developer Tools
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 Flutter and OpenCV

Flutter Reviews

Explore 9 Top Eclipse Alternatives for 2024
With Flutter 2’s release in 2021, developers now have full support to construct intuitive Windows apps, marking another milestone in Flutter’s inclusive cross-platform vision.
Source: aircada.com
Top 10 Flutter Alternatives for Cross-Platform App Development
So, above are some of the Flutter alternatives you can consider for your upcoming projects. To make the right selection, you should analyze the characteristics of your applications, which will help you make the most appropriate selection. You can also get in touch with a Flutter development company to go with the right option.
Source: www.moontechnolabs.com
Top 5 Flutter Alternatives for Cross-Platform Development
Qt’s native capabilities contribute to its good app performance and size. Compared to Flutter, Flutter apps tend to be larger than native apps. However, the framework’s features and language are designed to boost Flutter app performance.
Source: www.miquido.com
Exploring 15 Powerful Flutter Alternatives
Beyond official Flutter built by Google, Flutter Community is an open-source fork-adding capability and component. Flutter Community has specifically expanded device testing coverage beyond Google’s in-house capabilities. With contributors volunteering devices for testing worldwide, Flutter Community tracks compatibility across over 3000 device variants spanning multiple...
Source: positiwise.medium.com
Top 10 Android Studio Alternatives For App Development
Flutter is a framework that is used by stack developers to build multi-platform apps from a single codebase. It is an open-source project which was developed by Google to build app UI.
Source: www.geeksforgeeks.org

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, Flutter should be more popular than OpenCV. It has been mentiond 365 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.

Flutter mentions (365)

  • What is the Most Effective AI Tool for App Development Today?
    With the app market projected to reach over $500 billion by 2025, integrating AI isn't just advantageous—it's essential for staying competitive. Whether you're building a mobile app for education, a web platform for e-commerce, or an enterprise tool for data analysis, AI can accelerate development cycles, reduce costs, and enhance functionality. However, effectiveness depends on context: the app's purpose, your... - Source: dev.to / about 2 months ago
  • Cross-Platform Development: Flutter vs. React Native – Which is the Right Choice for Your Project?
    Cross-platform development means writing code once and running it on multiple platforms like iOS and Android. This reduces time, cost, and effort compared to developing separate apps for each platform. Developers use frameworks to simplify this process, and two of the most popular are Flutter and React Native. - Source: dev.to / 3 months ago
  • 🚀 iOS vs Android Development: Which One Should You Learn First? (The Truth No One Tells You!)
    🎯 Still confused? Start with Flutter, which lets you build both iOS & Android apps with one codebase! Check it out here. - Source: dev.to / 7 months ago
  • Writing and Reading NFC in Flutter | Comprehensive Guide
    Flutter provides robust support for NFC through third-party packages, making implementation seamless. - Source: dev.to / 7 months ago
  • Building cost-effective AI-driven MVPs with Flutter development services
    Flutter is a powerful, popular, and open-source platform known for its developer-friendly environment, wide ecosystem of libraries, extensions and other tools. A key feature of Flutter app development services is that it promotes the development of cross-platform applications without needing to build or write two or three different codebases. - Source: dev.to / 8 months ago
View more

OpenCV mentions (61)

  • What is the Most Effective AI Tool for App Development Today?
    Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented... - Source: dev.to / about 2 months ago
  • 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 / 5 months ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 5 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 / 9 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 / 11 months ago
View more

What are some alternatives?

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

React Native - A framework for building native apps with React

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

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

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

Content Grabber - Content Grabber is an automated web scraping tool.

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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