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Robot framework VS OpenCV

Compare Robot framework 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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Robot framework logo Robot framework

Robot Framework is a generic test automation framework for acceptance testing and acceptance...

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Robot framework Landing page
    Landing page //
    2023-06-20
  • OpenCV Landing page
    Landing page //
    2023-07-29

Robot framework features and specs

  • Open Source
    Robot Framework is open-source, which means it is free to use and has a large community of users and contributors who continuously improve the tool and provide support.
  • Extensible
    Its extensible nature allows easy integration with various libraries and tools. Custom libraries can also be added to extend its functionality further.
  • Keyword-Driven Testing
    Utilizes a keyword-driven testing approach, making tests readable and simple to create even for non-programmers. This encourages collaboration between developers and non-technical stakeholders.
  • Platform Independent
    Robot Framework is platform-independent and can be run on different operating systems like Windows, macOS, and Linux.
  • Selenium Integration
    Offers seamless integration with Selenium, empowering it to be used for a wide range of web application testing tasks, from simple UI checks to complex automated workflows.
  • Rich Reporting
    Generates comprehensive logs and reports that help in the easy identification of test results and issues. The reports are user-friendly and provide detailed execution flow.
  • Data-Driven Testing
    Supports data-driven test cases, allowing tests to be executed with multiple sets of input data, enhancing test coverage.

Possible disadvantages of Robot framework

  • Learning Curve
    For those unfamiliar with keyword-driven testing or the framework itself, there can be a learning curve, particularly in understanding how to best structure test cases and use the available libraries.
  • Performance Overhead
    The high level of abstraction can introduce some performance overhead, making it less suitable for extremely performance-sensitive or low-level testing scenarios.
  • Limited Mobile Testing
    While it supports mobile testing through Appium, the support and community resources for mobile testing are not as robust as for web application testing.
  • Python Dependency
    It primarily relies on Python, which means that some organizations that use different programming languages might find it less straightforward to integrate and utilize effectively.
  • Debugging Complexity
    Debugging can be less intuitive compared to traditional code-based frameworks. Errors can sometimes be harder to trace due to the abstraction layer provided by keyword-driven scripting.

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.

Robot framework videos

+ Add

Robot Framework Tutorial | Robot Framework With Python | Python Robot Framework | Edureka

More videos:

  • Review - The Robot Framework – Top 7 Things You Need to Know
  • Review - Robot Class vs Robot Framework Vs Robotic Process Automation

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Robot framework and OpenCV)

Robot framework

OpenCV

Automated Testing
100 100%
Automated Testing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Browser Testing
100 100%
Browser Testing
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 Robot framework and OpenCV

Robot framework Reviews

Top 5 Selenium Alternatives for Less Maintenance
Robot Framework is an open-source automation framework that uses a keyword-driven approach, making it easy to create and maintain test cases. It supports both codeless and script-based automation, making it versatile for various testing needs.
Source: www.leapwork.com
Best Automation Testing Tools (Free and Paid) | July 2022
Selenium is an open-source test automation framework that automates web browsers. It becomes a favorite automation tool of choice for automation testers. It acts as a core framework for open-source test automation software such as Watir, Robot Framework, Katalon Studio, and Protractor.
Source: www.softwaretestingmaterial.com
Top 10 Best Selenium Alternatives You Should Try
Robot Framework is an open-source test automation framework used for acceptance test-driven development (ATDD) and acceptance testing. Robot Framework is standard and uses a keyword-driven testing approach and behavior-driven.
Source: www.softwaretestinghelp.com
Best Selenium Alternatives (Free and Paid) in 2021
Robot Framework is an open-source automation framework that implements the keyword-driven approach for acceptance testing and acceptance test-driven development (ATDD). Robot Framework provides frameworks for different test automation needs. But its test capability can be further extended by implementing additional test libraries using Python and Java. Selenium WebDriver is...
Source: www.softwaretestingmaterial.com
5 Selenium Alternatives to Fill in Your Top Testing Gaps
Robot Framework is an open-source Selenium alternative primarily for acceptance test-driven development (ATDD) and acceptance testing. Using the keyword-driven methodology, testers and developers can use Robot Framework as an automation system for web and mobile test automation.
Source: www.perfecto.io

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 Robot framework. It has been mentiond 59 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.

Robot framework mentions (32)

  • Most Effective Approaches for Debugging Applications
    Fixing a bug is incomplete without preventing its recurrence. Root cause analysis (RCA), coupled with regression testing and documentation, ensures long-term reliability. Antony Marceles, Founder of Pumex Computing, emphasizes, “Fixing a bug is only part of the solution, preventing it from happening again is the real goal.” Marceles’ team uses regression tests via Robot Framework and code reviews with Gerrit to... - Source: dev.to / 11 days ago
  • Robot Framework Using the Browser Library: Advantages, Disadvantages, and Practical Tips
    Documentation is your best friend. It provides comprehensive guides, examples, and API references to help you navigate the library effectively. Here you can access it, as well as the Robot Framework documentation. - Source: dev.to / 5 months ago
  • Automated Acceptance Testing with Robot Framework and Testkube
    The Robot Framework is an acceptance testing tool that is easy to write and manage due to its key-driven approach. Let us learn more about the Robot Framework to enable acceptance testing. - Source: dev.to / 11 months ago
  • Beautiful is better than ugly, but my beginner code is horrible
    Well, I work with software quality and despite not having a strong foundation in automation, one fine day I decided to make a change. I have been working with Robot Framework for a few months - and that's when I got a taste of the power of python. Some time later, I dabbled a little with Cypress and Playwright, always using javascript. - Source: dev.to / over 1 year ago
  • Embedded professionals, what kind of 'github' projects would make you hire a developer?
    I've used Lua/Busted in a data-heavy environment (telemetry from hospital ventilators). I've also used robot: https://robotframework.org/. Source: almost 2 years ago
View more

OpenCV mentions (59)

  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 9 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 / 4 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 / 7 months ago
  • Built in Days, Acquired for $20K: The NuloApp Story
    First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago
View more

What are some alternatives?

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

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

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

Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.

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

Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.

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

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