Software Alternatives, Accelerators & Startups

OpenCV VS 8base

Compare OpenCV VS 8base and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

8base logo 8base

Rethink development using 8base's low-code development platform.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • 8base Landing page
    Landing page //
    2023-10-28

A full-stack low-code development platform that enables JavaScript developers to any type of web application faster, better, and more economically. With 8base: Build using visual tools; Leverage pre-fab components; Code wherever you need to; See progress in realtime; Deploy instantly; Pay for use, not users.

8base

Website
8base.com
$ Details
paid Free Trial $25.0 / Monthly (1,000 user accounts, 100,000 API calls.)
Platforms
Browser iOS Android REST API JavaScript Swift GraphQL API TypeScript
Release Date
2018 October

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.

8base features and specs

  • Rapid Development
    8base provides a low-code platform that enables rapid development and deployment of applications, allowing developers to focus more on business logic rather than infrastructure setup.
  • Scalability
    The platform is built to be scalable, leveraging serverless architecture to handle varying loads without the need for manual scaling.
  • GraphQL API
    8base offers a GraphQL API that allows clients to request exactly the data they need, making it efficient for front-end development.
  • Integrated Services
    It provides integrated services like user authentication, file storage, and workflow automation, reducing the need for third-party services.
  • Collaboration Tools
    The platform includes features for team collaboration, making it easier to manage contributions from multiple developers.

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

Analysis of 8base

Overall verdict

  • 8base can be a good choice for developers and businesses seeking a robust and scalable platform to build web and mobile applications quickly. Its combination of ease-of-use, functionality, and support for modern development practices makes it a strong contender in the serverless application platform space.

Why this product is good

  • 8base is a development platform that offers a comprehensive suite of tools for building and managing applications, especially serverless ones. It provides features like authentication, data management, and integrations out-of-the-box, making it attractive for developers looking to accelerate the development process. The platform supports GraphQL APIs, which can offer flexibility and efficiency in data handling. Additionally, it has a community-driven ecosystem and provides scalability, which can be appealing for startups and businesses with growth potential.

Recommended for

  • Startups aiming to rapidly develop and deploy applications without building backend architecture from scratch.
  • Developers who prefer a seamless integration of various app utilities such as authentication and APIs.
  • Businesses looking to leverage GraphQL to enhance data management and access.
  • Teams interested in focusing on frontend development while offloading backend complexities to a managed platform.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

8base videos

8base Explainer Video

More videos:

  • Review - 8base Quick Overview

Category Popularity

0-100% (relative to OpenCV and 8base)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Cloud Computing
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 8base

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.

8base Reviews

  1. Diego Ortiz
    · Founder at Diego Consulting ·
    Really great platform for app development

    8base has been really fun to learn and leverage in my projects. I'd say I use it about 60% of the time now. Love their FaaS component.

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. 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

8base mentions (0)

We have not tracked any mentions of 8base yet. Tracking of 8base recommendations started around Mar 2021.

What are some alternatives?

When comparing OpenCV and 8base, 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.

Render UIKit - React-inspired Swift library for writing UIKit UIs

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

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.