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VLC Media Player VS Scikit-learn

Compare VLC Media Player VS Scikit-learn and see what are their differences

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VLC Media Player logo VLC Media Player

VLC is a free and open source cross-platform multimedia player and framework.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • VLC Media Player Landing page
    Landing page //
    2021-09-13
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

VLC Media Player features and specs

  • Cross-Platform Compatibility
    VLC Media Player is available on multiple platforms including Windows, macOS, Linux, Android, and iOS, providing a consistent experience across different devices.
  • Wide Format Support
    VLC supports virtually all audio and video file formats, making it a versatile media player for various types of content.
  • Open Source
    Being an open-source project, VLC is free to use and its source code is accessible, allowing for community-driven modifications and improvements.
  • No Ads or Spyware
    VLC Media Player is free of advertisements, spyware, and user tracking, offering a clean and private user experience.
  • Customizable Interface
    Users can customize the interface with skins and add functionality through plugins and extensions, enhancing the user experience.
  • Streaming Support
    VLC can stream content over networks and manage internet radio streams, making it ideal for both local and remote media playback.
  • Frequent Updates
    The development team regularly updates VLC, ensuring it remains secure, stable, and compatible with the latest media formats.

Possible disadvantages of VLC Media Player

  • Resource Intensive
    VLC can be resource-intensive, which may cause performance issues on older or less powerful devices.
  • Complex Interface
    The extensive range of features and settings can be overwhelming for new or less tech-savvy users, making it difficult to navigate.
  • Occasional Bugs
    Like any software, VLC is not immune to bugs, which can sometimes result in crashes or unexpected behavior during playback.
  • Limited Library Management
    VLC's media library functionality is relatively basic compared to dedicated media management software, which may be a downside for users with large media collections.
  • Suboptimal Subtitle Support
    While VLC supports subtitles, the functionality can sometimes be glitchy, with occasional issues in displaying or syncing subtitles accurately.
  • Advanced Features Can Be Hidden
    Some advanced features are not immediately obvious and may require digging into the settings or using command-line options, which can be a barrier for less experienced 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.

Analysis of VLC Media Player

Overall verdict

  • Yes, VLC Media Player is widely considered to be a good media player.

Why this product is good

  • VLC Media Player is praised for its versatility, open-source nature, cross-platform support, and ability to play a wide variety of media formats without needing additional codecs. It also offers features like streaming, conversion, and extensive subtitle support.

Recommended for

  • Users who need a reliable and versatile media player.
  • Anyone looking to play non-standard or less common media formats.
  • People who prefer open-source software or want a player that is consistently updated.
  • Users who require cross-platform compatibility between Windows, macOS, and Linux.

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.

VLC Media Player videos

VLC Media Player Review!

More videos:

  • Tutorial - VLC Media Player Android Review and Tutorial - Cool Features of VLC

Scikit-learn videos

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 VLC Media Player and Scikit-learn)
Audio Player
100 100%
0% 0
Data Science And Machine Learning
Media Player
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 VLC Media Player and Scikit-learn

VLC Media Player Reviews

  1. Muhammad Yaseen
    Playing Videos

    This is very useful application for me. Now i can watch videos of any format on my laptop with vlc player. It solved my all problems of video formats and play problem.


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Source: xtendedview.com
Top 5 Alternatives of VLC for iPad
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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...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than VLC Media Player. While we know about 31 links to Scikit-learn, we've tracked only 3 mentions of VLC Media Player. 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.

VLC Media Player mentions (3)

  • The 10 tools I install on every new Mac I get
    VLC - plays everything, has excellent keyboard shortcuts and can in a pinch even record screens for you (free). - Source: dev.to / over 1 year ago
  • Why Open Source Software VLC's official website has been blocked for over 5 months now?
    Try accessing it without the 'www' subdomain (https://videolan.org/vlc/). Source: almost 3 years ago
  • AV1 no working
    I think I recommend you to use VLC Media Player without AV1 extension, it just decode. Source: almost 4 years ago

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
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What are some alternatives?

When comparing VLC Media Player and Scikit-learn, you can also consider the following products

AIMP - AIMP : Free Audio Player : Официальный сайт программы

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

Winamp - Winamp is a media player that allows users to play multiple-file formats, arrange media in a varied file-management system, and play unique media with AAC encoding.

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

foobar2000 - An advanced freeware audio player for the Windows platform.

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