Software Alternatives, Accelerators & Startups

OpenCV VS Adalo

Compare OpenCV VS Adalo and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Adalo logo Adalo

Build apps for every platform, without code ✨
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Adalo Landing page
    Landing page //
    2023-09-26

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Adalo features and specs

  • User-Friendly Interface
    Adalo offers a highly intuitive drag-and-drop interface, making it accessible for users without technical skills.
  • Rapid Prototyping
    The platform allows for quick design and deployment, enabling users to rapidly prototype and test their applications.
  • Integration with Various Services
    Adalo supports integration with a variety of third-party services and APIs, enhancing its functionality and versatility.
  • Customizable Components
    Users can customize pre-built components or create their own, offering flexibility in app design.
  • Cross-Platform Capability
    Adalo enables the development of apps for both iOS and Android platforms, as well as web applications.

Possible disadvantages of Adalo

  • Performance Issues
    Some users report slower loading times and performance issues, especially with complex applications.
  • Limited Scalability
    The platform may not be suitable for highly scalable applications or those requiring advanced functionality.
  • Subscription Costs
    While Adalo offers a free tier, the more useful features are behind a paywall, which can become costly for continued use.
  • Data Storage Constraints
    Users are often limited by the amount of data they can store, which could be a downside for data-intensive applications.
  • Dependency on No-Code Environment
    Relying heavily on a no-code solution can limit technical growth and may not be suitable if custom coding becomes necessary.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Adalo videos

No Code Summit at Microsoft NYC: Adalo

More videos:

  • Review - Introducing Adalo | Create Your Own App Without Code
  • Tutorial - Adalo Tutorial

Category Popularity

0-100% (relative to OpenCV and Adalo)
Data Science And Machine Learning
Application Builder
0 0%
100% 100
Data Science Tools
100 100%
0% 0
No Code
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 OpenCV and Adalo

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.

Adalo Reviews

THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
You can bring your app ideas to life with Adalo. Creating web and mobile apps today requires learning how to code, finding a technical cofounder, or raising a lot of capital. For some, this means spending lots of precious time and money before they can get their idea off the ground. For others, this cost is simply too high and they walk away from their dream. With Adalo app...
21 Best No Code Tools You Need To Try
Whilst it may seem similar to Glide above, Adalo is focused more on the visual “drag-and-drop” user experience so users can instantly see what they build in real-time.
Source: www.cenario.co
33+ Best No Code Tools you will love 😍
Building No Code Apps has never been easier with Adalo as a platform of choice. You can build functional, advanced apps with Adalo which honestly can replicate custom code apps you may pay thousands for with a developer.
25 No-Code Apps and Tools to help build your next Startup
Adalo is an amazing and intuitive way to build beautiful applications! Adalo-built apps can work on both the Apple App Store and the Google Play Store. Adalo’s top selling point is the easy to use “drag and drop” feature which allows you to watch the progress and design of your app in real time. The huge community of makers happily share their tips and tricks to great...
Source: www.ishir.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than Adalo. While we know about 60 links to OpenCV, we've tracked only 3 mentions of Adalo. 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 / 24 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

Adalo mentions (3)

  • Ask HN: Repair and Maintenance App
    Yes, I think no-code solution can work easily for this use case. There are no of solutions you can try and see which one fits best in your use case. https://bubble.io, https://drapcode.com, etc works best for web apps. If you need Mobile Apps, then you can try using https://adalo.com or Thunkable/GlideApps etc. - Source: Hacker News / almost 4 years ago
  • Retool alternative which not charge per user?
    Thanks, but it look so expensive. For mobile app, I still evaluating thunkable.com and adalo.com. Source: almost 4 years ago
  • Amazon Honeycode is here to shake up the no code market
    After dropping several hints in recent months, AWS finally launched the beta version of Amazon Honeycode, the company’s spanking new rendition of a no-code product. For the longest time, customers of the no-code market segment have turned to brands like bubble.io and adalo.com for quick and engaging app development projects. But with Beta Honeycode now around, it’s interesting to see what tricks AWS has up its... Source: almost 4 years ago

What are some alternatives?

When comparing OpenCV and Adalo, 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.

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

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

zeroqode - Build your app up to 10x faster with no-code app templates

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

FlutterFlow - FlutterFlow is an online low-code platform that empowers people to build native mobile apps visually.