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MPV VS NumPy

Compare MPV VS NumPy 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
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MPV logo MPV

MPV is an audio and movie player based on MPlayer and mplayer2. A free, open source, and cross-platform media player.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • MPV Landing page
    Landing page //
    2021-09-14
  • NumPy Landing page
    Landing page //
    2023-05-13

MPV features and specs

  • Cross-Platform Compatibility
    MPV is available on multiple operating systems including Windows, macOS, and various Linux distributions, making it versatile for users across different platforms.
  • High Customizability
    MPV offers extensive customization options through its configuration files, allowing users to tailor the player to their specific needs and preferences.
  • High-Quality Video Playback
    MPV supports a wide array of video codecs and formats out-of-the-box, providing high-quality playback and smooth performance.
  • Minimalistic Interface
    MPV features a clean and simple interface that focuses on the video content without unnecessary distractions, appealing to users who prefer a minimalist design.
  • Active Open-Source Community
    As an open-source project, MPV is continuously improved by a dedicated community, which contributes regular updates, new features, and bug fixes.

Possible disadvantages of MPV

  • Steep Learning Curve
    New users might find MPV challenging to use initially, especially due to its reliance on command-line configurations and lack of a graphical user interface for settings.
  • Limited Built-In GUI
    MPV lacks a comprehensive built-in graphical user interface, which might be inconvenient for users who prefer GUI-based interaction for functionality like playlist management or detailed settings.
  • Dependency on External Scripts
    Some advanced functionalities require the use of external scripts and add-ons, which can be cumbersome to find, install, and configure.
  • Lack of Integrated Streaming Services
    MPV does not natively support integration with popular streaming services, requiring additional steps or tools for users who want to stream content directly within the player.
  • Occasional Stability Issues
    Being an actively developed open-source project, MPV can sometimes experience stability issues or bugs in new releases, impacting the user experience.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of MPV

Overall verdict

  • Yes, MPV is considered a good media player for both casual and advanced users who appreciate flexibility and performance.

Why this product is good

  • MPV is a versatile and open-source media player known for its high performance, wide range of supported formats, and minimalistic design. It offers features such as hardware acceleration, high-quality video output, and scripting capabilities, making it popular among power users and developers.

Recommended for

  • Users who need a lightweight and efficient media player
  • Advanced users who want extensive customization and scripting options
  • Developers looking for a media player with robust API support
  • Linux users and those who prefer open-source software

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

MPV videos

+ Add

Best MPVs: Our top 5

More videos:

  • Review - Mazda5 MPV review - CarBuyer
  • Demo - MPV - A Lightweight Powerful Video Player for Linux
  • Review - What Car? reviews seven-seat MPVs - Vauxhall Zafira Tourer, Seat Alhambra & Citroen Grand C4 Picasso

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to MPV and NumPy)

MPV

NumPy

Audio Player
100 100%
Audio Player
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Media Player
100 100%
Media Player
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 MPV and NumPy

MPV Reviews

Best VLC Alternative Media Players
MPV is a highly acclaimed alternative to VLC media player that pretty much follows what VLC has started. It is free, open-source, cross-platform, and provides endless customization. It has a huge but still rapidly growing community and better shading and high-quality video rendering.
Source: icecreamapps.com
20 BEST Video Player | Media Players for Windows 10 PC (2021)
MPV is a media player tool. It is a free and open-source application released under GNU (General Public License). This tool supports MPV and MPEG-2 video formats.
Source: www.guru99.com
15 Best Media Players For Mac and Windows (2021 Edition)
MPV is an open source software that comes with streamlined CLI options. It supports video scaling with famous high quality algorithms, frame timing, HDR, interpolation and color management to give you the best experience.
Source: www.rankred.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, MPV should be more popular than NumPy. It has been mentiond 230 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.

MPV mentions (230)

  • How I Built a TUI Without Leaving the Terminal
    The biggest challenge I faced was getting some sort of way to play music. So I picked the easiest route—I directly implemented it with mpv and I channeled logs of mpv (which had timestamps, which I needed) to a log file under the .sparklines folder, and managed it with a socket (a two-way communication endpoint to handle the custom commands). With the power of NodeJS, I made it work out and somehow it turned out a... - Source: dev.to / about 2 months ago
  • Lua scripting in mpv video player
    I checked it and the mpv-cut script turned out to be a Lua script that lets you cut a video fragment directly while watching it in the mpv player. - Source: dev.to / 4 months ago
  • Qubes OS: A reasonably secure operating system
    Mpv is a free (as in freedom) media player for the command line. It supports a wide variety of media file formats, audio and video codecs, and subtitle types.[0] https://mpv.io/. - Source: Hacker News / 5 months ago
  • Firefox slow to load YouTube? Just another front in Google's war on ad blockers
    Https://mpv.io/ has yt-dlp support, if yt-dlp is installed you just need to throw the URL at it and it plays the video (without download). - Source: Hacker News / over 1 year ago
  • Video stops on furst frame, audio continues to play,seek works
    I apologise for not following procedure. I am in the middle of building mpv 0.37 from source. Irrespective of the outcome I will document what I had to do in addition to the instructions on mpv.io and if the problem perststs, where it happens and where not with kernel version, mpv version taken from the screen, and the terminal output. Source: over 1 year ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing MPV and NumPy, you can also consider the following products

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

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

PotPlayer - Potplayer is a minimalist media player that has an extensive range of configurable options to...

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

MPC-HC - MPC-HC, the free, open source media player for Windows. DownloadsNote. Supported Operating Systems: Windows® XP SP3 .

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

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