Software Alternatives, Accelerators & Startups
Register | Login

SpeedCrunch VS OpenCV

Compare SpeedCrunch VS OpenCV and see what are their differences

LibHunt
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
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SpeedCrunch logo 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 .

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • SpeedCrunch Landing page
    Landing page //
    2021-09-19
  • OpenCV Landing page
    Landing page //
    2023-07-29

SpeedCrunch features and specs

  • High Precision
    SpeedCrunch utilizes arbitrary-precision arithmetic, which allows calculations to be performed with a very high degree of accuracy.
  • Expression Parsing
    It can handle and parse complex mathematical expressions, making it suitable for advanced scientific and engineering calculations.
  • User-Friendly Interface
    The interface is clean and intuitive, allowing users to easily input and edit mathematical expressions without a steep learning curve.
  • Keyboard Shortcuts
    SpeedCrunch supports extensive keyboard shortcuts, which makes the application very efficient to use for experienced users.
  • Cross-Platform
    The software is available on multiple platforms including Windows, macOS, and Linux, providing flexibility for users on different operating systems.
  • Open Source
    As an open-source project, it allows for community contributions and transparency in its development, enabling users to trust and modify the software if needed.
  • Built-in Functions and Constants
    It includes a comprehensive list of built-in mathematical functions and constants, making it powerful for a wide range of applications.

Possible disadvantages of SpeedCrunch

  • No Graphing Capabilities
    SpeedCrunch does not support graphing of mathematical functions, which can be a limitation for users who need visual representations of data.
  • Limited to Numerical Calculations
    It is primarily focused on numerical calculations and doesn't support symbolic mathematics, limiting its usefulness for some types of algebraic computations.
  • Lack of Documentation
    While it is intuitive for basic use, more advanced features may lack comprehensive documentation, making it harder for new users to fully leverage the software's capabilities.
  • No Mobile Version
    Currently, SpeedCrunch does not have an official mobile version, which could be a drawback for users who need to perform calculations on the go.
  • Customization Limitations
    There are limited options for customizing the user interface or adding new features beyond what is already included, which may be a downside for some users.

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 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

SpeedCrunch videos

+ Add

SpeedCrunch

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to SpeedCrunch and OpenCV)

SpeedCrunch

OpenCV

Calculators
100 100%
Calculators
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Advanced Calculator
100 100%
Advanced Calculator
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using SpeedCrunch and OpenCV. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

SpeedCrunch Reviews

10 Of The Best Mathway Alternatives
SpeedCrunch allows you to crunch complex sets of math problems at high speeds. The app supports a wide range of mathematical operations, from random number generation to trigonometry.
Source: launchspace.net

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 SpeedCrunch. 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.

SpeedCrunch mentions (6)

  • Qalculate! - the ultimate desktop calculator
    As well as of https://speedcrunch.org/. Source: about 3 years ago
  • Rewrite KCalc app?
    I would love to see Speedcrunch to become KDE's first choice as a calculator app:. Source: over 3 years ago
  • Does KDE have a native programming calculator?
    Hello, if you are looking for a good scientific calculator you could give a chance to speedcrunch. Source: over 3 years ago
  • AWESOME WINDOWS TOOLS
    SpeedCrunch - The best and only calculator you'll need, completely stripped down of unnecessary UI clutter. - Source: dev.to / about 4 years ago
  • All desktop calculators are wrong, so I had to build my own
    I personally really like using speedcrunch[1] as a desktop calculator, and it’s cross platform. It’s not doing pretty print though. Otherwise it’s wolfram alpha[2], but that needs internet. I never type calculations in any search engines, but that’s way too slow compared to speedcrunch. Maybe I feel similarly to chalk using a web view compared to how electron apps are seen by some. Displaying inaccuracies is neat!... - Source: Hacker News / about 4 years 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 / 15 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 29 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 / 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 / 8 months ago
View more

What are some alternatives?

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

Qalculate! - Qalculate! is a multiplatform multi-purpose desktop calculator.

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.

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

Soulver - Soulver is a software application that functions as a calculator that allows you type a continuous stream of information rather than having to input data into multiple cells.

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

Loading...