Software Alternatives, Accelerators & Startups

OpenCV VS Backendless

Compare OpenCV VS Backendless and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Backendless logo Backendless

Backendless is a mobile Backend as a Service (mBaaS) platform.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Backendless Landing page
    Landing page //
    2023-07-20

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Backendless features and specs

  • Codeless Development
    Backendless offers a 'Codeless' feature, which allows users to build backend logic without writing any code. This is particularly beneficial for those who are not familiar with complex coding languages.
  • Real-Time Database
    The platform provides real-time data synchronization, allowing applications to update data instantly across all clients. This is essential for interactive applications such as chat apps and real-time data feeds.
  • API Services
    Backendless allows the creation of REST and SOAP APIs effortlessly. This makes it easier to integrate with other services and provides a clear pathway for extending app functionality.
  • User Management
    The platform comes with built-in user management features such as registration, login, password recovery, and social logins. This helps in reducing the effort required to implement user authentication and authorization.
  • Mobile and Web App Support
    Backendless supports both mobile (iOS/Android) and web applications, offering SDKs for multiple platforms which streamlines the development process.

Possible disadvantages of Backendless

  • Pricing
    Although Backendless offers a free tier, many features and higher usage levels are locked behind a paywall. This may be prohibitive for startups or small projects with limited budgets.
  • Learning Curve
    Even though Backendless offers codeless development, mastering the platform as a whole can be challenging for beginners. There are many features and settings that require some time to understand fully.
  • Vendor Lock-In
    Relying too much on Backendless-specific features can create difficulties if you decide to migrate to another backend service in the future. The migration process can be complex and time-consuming.
  • Limited Customization
    While Backendless offers many out-of-the-box features, there can be limitations in terms of customizing the backend behavior in comparison to building a custom backend.
  • Community and Support
    The community around Backendless is smaller compared to more established backend solutions like Firebase. This can make finding community support, third-party plugins, or comprehensive tutorials harder.

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

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Backendless videos

Backendless 5 Release Overview (webinar)

More videos:

  • Review - Functionality Visibility Control in Backendless Console
  • Review - Backendless version 3.0 Overview

Category Popularity

0-100% (relative to OpenCV and Backendless)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Databases
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 Backendless

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.

Backendless Reviews

2023 Firebase Alternatives: Top 10 Open-Source & Free
There are three comprehensive plans of this BaaS vendor: Backendless Cloud, Pro and Managed. But it only opened the pricing details of Backendless Cloud in this regard. Here are the key components of Backendless Cloud pricing:
Firebase Alternatives – Top 10 Competitors
Backendless is a highly scalable mobile Backend-as-a-Service (mBaaS) platform providing gazillion of features, including user authentication, live audio and video streaming, message filtering, push notifications, auto-scalability, data persistence, file storage, geo-location, cloud-code, analytics, and custom business logic. It has it all what you need to build awesome...

Social recommendations and mentions

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

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
View more

Backendless mentions (21)

  • Ap Developer
    Go here: https://backendless.com/ . If that don't work for you, Let me know and I'll tell you what next to do. Source: about 2 years ago
  • Join the Free Database Training Course From Backendless
    This article first appeared on https://backendless.com. - Source: dev.to / over 2 years ago
  • free-for.dev
    Backendless.com — Mobile and Web Baas, with 1 GB file storage free, push notifications 50000/month, and 1000 data objects in table. - Source: dev.to / over 2 years ago
  • How Much Does Custom Software Development Cost?
    Luckily, instead of building the backend from scratch, some backend Application Programming Interfaces (APIs) are available. Consider the following options: REST API, Firebase, Backendless, and JHipster. Using APIs is a great way to adopt a functional backend with lower custom software development pricing. - Source: dev.to / almost 3 years ago
  • Urgent: Low code / No Code App Builders
    The best no-code/low-code platform for building both the frontend and backend in one place is Backendless. They have the best backend features and a really solid UI Builder that gives you pretty much all capabilities you'll likely need. Source: almost 3 years ago
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What are some alternatives?

When comparing OpenCV and Backendless, 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.

Datomic - The fully transactional, cloud-ready, distributed database

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

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

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

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server