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LibreOffice VS Scikit-learn

Compare LibreOffice VS Scikit-learn and see what are their differences

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LibreOffice logo LibreOffice

Free office suite, open source, and compatible with .doc, .docx, .xls, .xlsx, .ppt, .pptx files. Updated regularly – download for free. Originally based on OpenOffice.org.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • LibreOffice Landing page
    Landing page //
    2021-10-15
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

LibreOffice features and specs

  • Free and Open Source
    LibreOffice is completely free to download and use, and as an open-source project, its source code is available for anyone to inspect, modify, and distribute.
  • Cross-Platform Compatibility
    LibreOffice can be used on various operating systems including Windows, macOS, and Linux, ensuring broad availability and support.
  • Strong Community Support
    The LibreOffice community offers extensive support through forums, documentation, and regular updates, ensuring continued improvements and user assistance.
  • Compatibility with Multiple File Formats
    LibreOffice supports a wide range of file formats, including Microsoft Office documents, making it easy to work with files created in other office suites.
  • Feature-Rich Suite
    LibreOffice includes powerful tools like Writer (word processor), Calc (spreadsheet), Impress (presentations), Draw (vector graphics), Base (database), and Math (formula editor).

Possible disadvantages of LibreOffice

  • Compatibility Issues
    Although LibreOffice supports many file formats, there might be occasional compatibility issues with complex Microsoft Office documents, leading to formatting problems.
  • User Interface
    Some users find LibreOffice's user interface to be less polished and more dated compared to more modern office suites like Microsoft Office or Google Workspace.
  • Learning Curve
    Switching from another office suite to LibreOffice can involve a learning curve, as users may need to familiarize themselves with different tools and features.
  • Limited Cloud Integration
    LibreOffice offers limited cloud storage and collaboration features compared to other cloud-based office suites like Google Workspace or Microsoft 365.
  • Performance
    For very large or complex documents, LibreOffice may sometimes lag or perform slower compared to other proprietary office software.

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.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

LibreOffice videos

+ Add

Microsoft Office vs LibreOffice | How to Make the Change

More videos:

  • Review - LibreOffice Overview

Scikit-learn videos

+ Add

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 LibreOffice and Scikit-learn)

LibreOffice

Scikit-learn

Office Suites
100 100%
Office Suites
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Project Management
100 100%
Project Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using LibreOffice and Scikit-learn. For example, how are they different and which one is better?
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Reviews

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

LibreOffice Reviews

Top Alternatives to Microsoft Office Suite
LibreOffice is a powerful open-source office suite that includes Writer, Calc, Impress, and more. With a user-friendly interface and compatibility with Microsoft Office formats, LibreOffice is an excellent alternative for businesses looking to save costs without compromising on functionality.
Source: saaszeal.com
10 Best Visio Alternatives for Cost Effective Diagramming [2022]
LibreOffice is a free and open-source office productivity software suite, a project of The Document Foundation. It was forked in 2010 from OpenOffice.org, an open-sourced version of the earlier StarOffice.
Source: todaystechworld.com

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 LibreOffice. 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.

LibreOffice mentions (15)

  • If I can add a PDF as an object to a Word file without Acrobat?
    Install LibreOffice (https://libreoffice.org) – free. Then open it in Draw and save as PNG or SVG. The latter will give you a vectorial file. Import those files in Word. Source: over 1 year ago
  • Is libre office free?
    Libre office is open source and free. Ignore the MS store , download it from libreoffice.org. Source: almost 2 years ago
  • What comes to your mind when you hear the words ‘tech abuse’?
    Microsoft Office -- Libreoffice. A customizable free and open source office suite. Source: over 2 years ago
  • An explanation of what we're talking about over here
    First, what is a distro? Distro, is short for distribution. A Linux distribution is basically an operating system, with added software (for example LibreOffice. In Linux there are a lot of distributions. This is because each distribution has a different idea on how things should be done. For example: one distribution uses the GNOME desktop, while the other uses KDE/Plasma, for example. There are a lot of ways in... Source: over 2 years ago
  • Windows Defender problem
    You either buy a license or resort to solutions like this: Https://libreoffice.org. Source: over 2 years ago
View more

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 / 6 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 / 12 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 / over 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
View more

What are some alternatives?

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

Microsoft 365 - Boost your productivity with reliable access anywhere with services like email, calendar, file sharing, meetings, instant messaging, and Office Online

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

ONLYOFFICE - ONLYOFFICE is a complete office and productivity suite.

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

WPS Office - Would you need Office Word, Excel or PowerPoint for Home, business or School? WPS.com would give you right version for you.

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

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