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SpeedCrunch VS Scikit-learn

Compare SpeedCrunch VS Scikit-learn 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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Contents:
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  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 .

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • SpeedCrunch Landing page
    Landing page //
    2021-09-19
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

SpeedCrunch videos

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SpeedCrunch

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to SpeedCrunch and Scikit-learn)

SpeedCrunch

Scikit-learn

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

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Reviews

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

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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than SpeedCrunch. It has been mentiond 31 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
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Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing SpeedCrunch and Scikit-learn, you can also consider the following products

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

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

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

OpenCV - OpenCV is the world's biggest computer vision library

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.

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

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