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OpenCV VS Harness

Compare OpenCV VS Harness and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Harness logo Harness

Automated Tests For Your Web App
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Harness Landing page
    Landing page //
    2023-07-24

Harness

Website
harness.io
$ Details
-
Release Date
2016 January
Startup details
Country
United States
State
California
Founder(s)
Jyoti Bansal
Employees
250 - 499

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Harness features and specs

  • Continuous Delivery Automation
    Harness provides robust continuous delivery automation, allowing teams to automate deployment processes, reduce errors, and improve the speed of releasing software.
  • Finance Efficiency
    Harness includes a cost management feature that helps organizations control cloud infrastructure costs by providing insights and optimizing resource usage.
  • Simplified CI/CD Pipelines
    It offers simplified CI/CD pipeline creation with an easy-to-use interface, which reduces the complexity and time required to set up these processes.
  • Advanced Security Features
    Integrates advanced security features, such as vulnerability scanning and role-based access control, ensuring that deployments meet security compliance requirements.
  • Smart Rollbacks
    Harness has the capability of smart rollbacks that enable teams to automatically revert to a stable version if a new deployment faces issues, minimizing downtime.

Possible disadvantages of Harness

  • Learning Curve
    There can be a significant learning curve for teams new to Harness, as understanding its full capabilities and integrating it into existing workflows can take time.
  • Cost
    Harness might represent a higher cost than some other CI/CD tools, which can be a concern for smaller businesses or teams with tighter budgets.
  • Complex Configurations
    Some users report that setting up complex configurations can require advanced technical expertise, potentially necessitating additional training or hiring.
  • Integration Limitations
    Although Harness integrates with various tools, there can be limitations or complexities in configuring and maintaining these integrations, especially with less common tools.
  • Dependence on Internet Connectivity
    As a cloud-based solution, Harness requires reliable internet connectivity, which might pose challenges for teams with unstable internet connections or strict data residency requirements.

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

Harness videos

How to FIT & CHOOSE a CLIMBING HARNESS w/ Black Diamond! VLOG

More videos:

  • Review - Best Climbing Harnesses - Top 7 Climbing Harness Reviews
  • Review - Best Dog Harness in 2019 - Top 5 Dog Harness Review

Category Popularity

0-100% (relative to OpenCV and Harness)
Data Science And Machine Learning
DevOps 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 Harness

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.

Harness Reviews

We have no reviews of Harness yet.
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Social recommendations and mentions

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

Harness mentions (15)

  • DevOps in 2025: the future is automated, git-ified, and kinda scary but fun.
    Harness — AI-powered delivery pipelines. - Source: dev.to / about 1 month ago
  • Best CI/CD for AWS services?
    Can check out our products at harness.io. Source: almost 2 years ago
  • How we moved from Artifactory and saved $200k p.a. Part 3 of 5 - The future is Advanced Artefacts
    Harness is our Continuous Delivery (CD) tool of choice. It provides a flexible template engine, that we were able to utilise to create templates that could be reused across our teams. - Source: dev.to / over 2 years ago
  • How to Install Drone CI Server in Kubernetes
    Drone by Harness is a continuous integration service that enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more. - Source: dev.to / almost 3 years ago
  • Harness
    Does anyone have any opinion about the DevOps company Harness - harness.io? (they also have a defunct sub r/Harnessio/). How is the pay in India (Glassdoor and AmbitionBox gives very different figures). How is the work-life balance? In Glassdoor, it doesn't look good at all. If you are a current or ex-employee, would you advise rather to not join it? Source: almost 3 years ago
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What are some alternatives?

When comparing OpenCV and Harness, 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.

Deployment.io - Deployment.io makes it super easy for startups and agile engineering teams to automate application deployments on AWS cloud.

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

GitHub Actions - Automate your workflow from idea to production