Software Alternatives, Accelerators & Startups

Qalculate! VS OpenCV

Compare Qalculate! VS OpenCV and see what are their differences

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Qalculate! logo Qalculate!

Qalculate! is a multiplatform multi-purpose desktop calculator.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Qalculate! Landing page
    Landing page //
    2023-10-11
  • OpenCV Landing page
    Landing page //
    2023-07-29

Qalculate! features and specs

  • Versatility
    Qalculate! supports a wide range of calculations, including basic arithmetic, algebra, calculus, and complex mathematical functions, making it suitable for various users from students to professionals.
  • Extensive Unit Conversions
    It provides extensive support for unit conversions across different measurement systems, which is very useful for scientific and engineering computations.
  • Currency Conversion
    The tool includes real-time currency conversion capabilities, allowing users to perform financial calculations with current exchange rates.
  • Customizability
    Users can define their own functions and variables, offering a high degree of customization to cater to specific needs.
  • User-Friendly Interface
    Qalculate! features an intuitive and user-friendly interface, making it accessible even to those who are not highly technically proficient.
  • Cross-Platform
    It is available on multiple operating systems, including Windows, macOS, and Linux, ensuring accessibility for a wide user base.
  • Free and Open Source
    Being open-source and free to use, it offers a cost-effective solution compared to commercial software without compromising on features.

Possible disadvantages of Qalculate!

  • Learning Curve
    Despite its user-friendly interface, the vast array of features and functionalities may present a steep learning curve for new users.
  • Documentation
    While there is documentation available, it may not be as comprehensive or as user-friendly as some users might require, making it challenging to fully utilize all features.
  • Performance
    For very large or complex calculations, the performance might not be as robust or fast as some specialized or commercial tools.
  • GUI Limitations
    The graphical user interface (GUI) might have limitations in presenting very complex calculations or notations as compared to some professional-grade mathematical software.
  • Lack of Community Support
    Being a niche tool, it may not have as large of a community for support and resources as more popular commercial alternatives.

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.

Analysis of Qalculate!

Overall verdict

  • Yes, Qalculate! is considered a good tool by many users, especially those who require more than a basic calculator. Its powerful features and ease of use make it a valuable tool for anyone needing a reliable and multifunctional calculator.

Why this product is good

  • Qalculate! is highly regarded for its versatility as a desktop calculator program. It offers a wide range of mathematical functions, unit conversions, and a user-friendly interface. It's particularly noted for its ability to handle complex calculations, customizable features, and comprehensive library of functions, making it suitable for both casual and advanced users. Additionally, it's open-source, which allows for community contributions and improvements.

Recommended for

    Qalculate! is recommended for students, engineers, scientists, and anyone who requires a robust computing tool for everyday calculations, unit conversions, and advanced mathematical functions. It's also ideal for users who appreciate open-source software and those looking for a customizable and comprehensive calculator.

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

Qalculate! videos

DSP Raspberry Pi 4 Qalculate! Install

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Qalculate! and OpenCV)
Calculators
100 100%
0% 0
Data Science And Machine Learning
Advanced Calculator
100 100%
0% 0
Data Science Tools
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 Qalculate! and OpenCV

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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.

Social recommendations and mentions

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

Qalculate! mentions (34)

  • Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
    Https://qalculate.github.io can do this also for as long as I've used it (only a couple years to be fair). I've got it on my phone, my laptop, even my server with the qalc command. Super convenient, supports everything from unit conversion to uncertainty tracking The histogram is neat, I don't think qalc has that. On the other hand, it took 8 seconds to calculate the default (exceedingly trivial) example. Is that... - Source: Hacker News / about 1 month ago
  • Frink
    Interesting project. I use command line Qalculate [1] for this (has a very similar feature set to Frink AFAICT) and Pint [2] for scripting. I feel like unit-aware calculators are hugely underused by physical engineers, it's the same idea and benefit as type safety but they're virtually unheard of, everyone just uses excel. Having guaranteed dimensional correctness is so great for the early design stage, it makes... - Source: Hacker News / 2 months ago
  • "A calculator app? Anyone could make that."
    I use qalculate, it behaves well enough for my needs. https://qalculate.github.io/. - Source: Hacker News / 3 months ago
  • Students, what features would you like to see on Windows 12?
    1) a scientific calculator with history and variables with a UI similar to https://sourceforge.net/projects/alt1-calculator/ that also can do units like https://qalculate.github.io/ 2) a tiny text chat direct message program that is similarly as easily accessible at Atl1 3) a minimalist dock of as many instances you would like similar to https://punklabs.com/rocketdock, and like where WIN opens the start menu, WIN... Source: over 1 year ago
  • Paint on Windows is getting layers and transparency support
    Qalculate is my go-to for cross platform calculator that is useful and is not limited to the most basic +-*/ operations. https://qalculate.github.io/. - Source: Hacker News / over 1 year ago
View more

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 / 13 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 27 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 / 5 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 / 8 months ago
View more

What are some alternatives?

When comparing Qalculate! and OpenCV, you can also consider the following products

SpeedCrunch - SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donate .

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

Numi App - Numi is a beautiful text calculator for Mac.

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

Event Viewer - Get help, support, and tutorials for Windows products—Windows 10, Windows 8.1, Windows 7, and Windows 10 Mobile.

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