OpenCV VS KNIME

Compare OpenCV VS KNIME and see what are their differences

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OpenCV

OpenCV is the world's biggest computer vision library

KNIME

KNIME, the open platform for your data.

Landing page //
2023-07-29

Landing page //
2023-09-28

OpenCV

Website: opencv.org
Pricing URL: -
$ Details

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KNIME

Website: knime.com
Pricing URL: Official KNIME Pricing
$ Details: -
Startup details
Country: Switzerland
City: Zürich
Employees: 50 - 99

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While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

KNIME features and specs

User-Friendly Interface
KNIME provides a visual workflow interface that makes it easy for users to design data processing, analysis, and machine learning workflows without needing to write code.
Extensibility
KNIME supports various extensions and plugins, which enhance its functionality and allow integration with different data sources, tools, and programming languages like R and Python.
Open Source
KNIME offers an open-source platform, which means users can access and modify the source code, contributing to its flexibility and cost-effectiveness.
Robust Community Support
A strong community of users and developers around KNIME provides extensive documentation, forums, and shared workflows to help solve issues and improve the platform.
Scalability
KNIME can handle large volumes of data and complex workflows, making it scalable for both small projects and large enterprise solutions.

Possible disadvantages of KNIME

Learning Curve
While the interface is user-friendly, new users may initially find it challenging to understand all the features and capabilities, leading to a significant learning curve.
Performance
For extremely large datasets or very complex workflows, KNIME can exhibit performance issues, including slower processing speeds and higher memory consumption.
Limited Advanced Machine Learning Capabilities
While KNIME is powerful for basic and intermediate analytics, it may lack some of the advanced machine learning capabilities found in specialized tools like TensorFlow or PyTorch.
Dependency on Extensions
A lot of KNIME’s advanced functionality relies on external extensions, which may not always be well-maintained or compatible with newer versions.
Commercial Licensing Costs
While the core platform is open-source, advanced features, support, and enterprise-level tools require a commercial license, which can be costly.

OpenCV videos

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AI Courses by OpenCV.org

KNIME videos

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What Is KNIME?

Category Popularity

0-100% (relative to OpenCV and KNIME)

OpenCV

KNIME

Data Science And Machine Learning

90 90%

Data Science And Machine Learning

10% 10

Data Science Tools

100 100%

Data Science Tools

0% 0

Business & Commerce

0 0%

Business & Commerce

100% 100

Python Tools

100 100%

Python Tools

0% 0

User comments

Share your experience with using OpenCV and KNIME. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenCV and KNIME

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

KNIME Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List

Knime Analytics Platform is an open-source Business Intelligence software that has been developed as an integration platform for creating analytical reports. It is a software that might be difficult for a novice to use. However, for Data Scientists and other Data professionals, particularly those who want to work with R, Python, or other Predictive Machine Learning tools,...

Source: hevodata.com

Top 10 Data Analysis Tools in 2022

KNIME KNIME is an open-source tool that allows you to build or manipulate software to fit your company goals. KNIME is a free data analysis tool. KNIME is a valuable tool that is freely accessible and can be modified due to its open architecture. However, there is a paucity of learning materials and a need for better visualization.

Source: www.spiceworks.com

15 data science tools to consider using in 2021

Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.

Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than KNIME. While we know about 59 links to OpenCV, we've tracked only 2 mentions of KNIME. 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 (59)

Top Programming Languages for AI Development in 2025
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 2 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 / 7 months ago

KNIME mentions (2)

Replace SAP BI with what?
I'd recommend to look into the free and open source KNIME tool (knime.com). It may not look easy to use right away, but if you stick with it for a little while and attend its learning guides, KNIME will grow on you. You can even have it scheduled using Microsoft Task Scheduler or CRON for free. For me, it has augmented the capabilities of Power BI, Looker Studio, Cognos, Excel, and other proprietary tools. Its... Source: almost 2 years ago
More "pythonic" way of writing my API query?
That would cause a problem because ultimately this query will be scheduled to run multiple times a day on a KNIME server. Source: almost 2 years ago