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Audacious VS NumPy

Compare Audacious VS NumPy 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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Audacious logo Audacious

Audacious is an advanced audio player.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Audacious Landing page
    Landing page //
    2023-09-28
  • NumPy Landing page
    Landing page //
    2023-05-13

Audacious features and specs

  • Lightweight
    Audacious is designed to be a lightweight media player, using minimal system resources, which makes it ideal for systems with limited hardware capabilities.
  • Customizable
    The player allows users to customize its interface and features extensively through plugins and skins, providing a personalized user experience.
  • Wide Format Support
    Audacious supports a wide range of audio formats, including popular ones like MP3, FLAC, WAV, and many others, ensuring compatibility with most audio files.
  • Open Source
    Being an open-source project, Audacious encourages community involvement and transparency in its development process, allowing users to contribute and suggest improvements.
  • Low Latency Playback
    The player is known for its low latency playback, which is particularly beneficial for high-quality audio and real-time listening experiences.

Possible disadvantages of Audacious

  • Limited Video Support
    Audacious focuses primarily on audio playback and offers very limited support for video files, making it unsuitable for users looking for a comprehensive media player.
  • Basic Library Management
    Compared to other media players, Audacious offers only basic library management features, which might not meet the needs of users with large and complex media libraries.
  • Outdated Interface
    Some users might find the user interface of Audacious to be outdated and less visually appealing compared to other modern media players.
  • Fewer Advanced Features
    While it covers essential functionalities well, Audacious lacks some advanced features such as detailed metadata editing and smart playlists, which can be found in other media players.
  • Inconsistent Plugin Quality
    The quality and stability of plugins can vary, leading to potential reliability issues if certain plugins are used extensively.

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 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.

Audacious videos

+ Add

The Audacious Review No One Asked For | Denarmo

More videos:

  • Review - Audacious Music Player - App Review
  • Review - Audacious: Poor Destroyers

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 Audacious and NumPy)

Audacious

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

Share your experience with using Audacious and NumPy. 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 Audacious and NumPy

Audacious Reviews

10 Poweramp Music Player Alternatives
Audacious is an advanced open-source audio player software that is a descendant of XMMS that helps you listen to high-quality music with its built-in music presets and effects. Audacious gets the most important things required to play the music, create your own customized playlists, or search for music from the artists and albums library. You can listen to music on CDs or...
Source: www.justalternativeto.com
10 Best Winamp Alternatives for Windows 10
Although not the best, Audacious is still the best audio player app that you can use. It’s an open-source audio player, and it’s pretty lightweight. To play any music files, drag and drop the folders containing the music, and it will list down the songs along with some additional details like artist name, albums, etc. You can even create your custom playlist with Audacious....
Source: techviral.net

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, NumPy should be more popular than Audacious. It has been mentiond 119 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.

Audacious mentions (23)

  • The Age of Average
    Https://audacious-media-player.org/ I'm still gleefully using Winamp skins to this day thanks to these fine people. - Source: Hacker News / 6 months ago
  • Foobar2000
    You might like Audacious[0]. It loads the previously-open playlist by default, which I find a little annoying but apparently is your preference. Audacious has the bare-bones GUI of foobar2000 / deadbeef and also a plug-in architecture. https://audacious-media-player.org/. - Source: Hacker News / 11 months ago
  • Recommendations for music players
    I usually just use mpv since it's the simplest and most flexible. You might be looking for something like Audacious though, which is great too. Source: about 2 years ago
  • PlayOnLinux and Winamp
    Audacious is a more popular media player app that supports Winamp skins and a media library. Source: about 2 years ago
  • What's really going on with Amarok?
    This may interest you,and it is Qt,plus can be used with MPD. https://audacious-media-player.org/. Source: about 2 years 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 / 9 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 Audacious and NumPy, you can also consider the following products

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

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

Clementine - Clementine is a cross-platform free and open source music player and library organizer based on...

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

AIMP - AIMP : Free Audio Player : Официальный сайт программы

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

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