Software Alternatives, Accelerators & Startups

Moonlight-Stream.org VS NumPy

Compare Moonlight-Stream.org VS NumPy and see what are their differences

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Moonlight-Stream.org logo Moonlight-Stream.org

Moonlight allows you to stream your collection of games from your GameStream-compatible PC to any...

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Moonlight-Stream.org Landing page
    Landing page //
    2021-07-31
  • NumPy Landing page
    Landing page //
    2023-05-13

Moonlight-Stream.org features and specs

  • High Performance
    Moonlight-Stream leverages NVIDIA's GameStream technology to deliver smooth, low-latency game streaming, ensuring a high-quality gaming experience.
  • Multi-Platform Support
    It supports multiple platforms including Windows, macOS, Linux, Android, and iOS, enabling users to stream their games on various devices.
  • Open Source
    Moonlight is an open-source project, which means it benefits from community contributions and transparency in development.
  • Customizable
    Users can customize various settings such as resolution, bitrate, and encoder options to suit their specific needs and network conditions.
  • Free to Use
    Moonlight is free to use, making it an accessible option for gamers without any additional costs.

Possible disadvantages of Moonlight-Stream.org

  • NVIDIA GPU Requirement
    A major drawback is its dependency on NVIDIA's GameStream technology, necessitating an NVIDIA GPU, which limits accessibility for those with other types of GPUs.
  • Setup Complexity
    The initial setup can be complex and intimidating for non-technical users, requiring configuration on both the host and client devices.
  • Network Dependent
    The performance is highly dependent on your network quality. Poor or unstable internet connections can result in lag and lower streaming quality.
  • Limited Official Support
    As an open-source project, it may lack the official support and regular updates that come with commercial streaming solutions.
  • Security Concerns
    Users must configure their network settings correctly to avoid potential security risks, as improper setup could expose their system to vulnerabilities.

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 Moonlight-Stream.org

Overall verdict

  • Moonlight-Stream.org is considered a reliable and effective solution for game streaming, especially for users who have compatible NVIDIA hardware and are seeking an open-source alternative to other game streaming services.

Why this product is good

  • Moonlight-Stream.org is well-regarded for allowing users to stream games from their gaming PC to various devices, providing a seamless gaming experience with low latency and high compatibility with the NVIDIA GameStream technology.

Recommended for

    Moonlight-Stream.org is recommended for PC gamers who want to stream their games to other devices, such as smartphones, tablets, or other computers, particularly those who value open-source solutions and have NVIDIA GPUs supporting GameStream.

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.

Moonlight-Stream.org videos

Play any PC Game on Your Android Device

NumPy videos

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 Moonlight-Stream.org and NumPy)
Games
100 100%
0% 0
Data Science And Machine Learning
Game Streaming
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 Moonlight-Stream.org and NumPy

Moonlight-Stream.org Reviews

Top Remote Desktop Software for Gaming
Moonlight virtually mirrors your computer’s desktop on a client device using the Nvidia software. Bear in mind that Moonlight is suitable mainly for single-player games. If you want to play an online or multiplayer game, you need to choose another one of our best remote desktop for gaming solutions.
Source: cloudzy.com
Moonlight game streaming alternatives
Moonlight is a top-notch game streaming service that lets players stream their PC games on any device of their choice. All the games that you own on your computer can be mirrored on a different device through Moonlight. For most players, Moonlight is the first choice when it comes to streaming games remotely. It is not every day that you come across a free game streaming...
Source: androidgram.com
15 Best Parsec Alternatives [Remote Desktop Tools] in 2022
For IOS users that are finding it difficult to find the right alternative to Parsec, Moonlight is the app for them. Formerly called Limelight, this platform enables you to play PC games on your phone with no stress without sacrificing game resolution.
Source: phreesite.com
11 Best Parsec Alternatives & Similar Apps
According to users’ reports, this platform is not the one with the best sound quality. Also, just like any other cloud gaming platform, Moonlight will drain your battery dramatically. Still, it won’t hurt to give this platform a try.

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.
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, Moonlight-Stream.org should be more popular than NumPy. It has been mentiond 284 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.

Moonlight-Stream.org mentions (284)

  • Do I need subscription on GeforceNow to cast my PC to Nvidia Shield tv_?
    You need Moonlight - https://moonlight-stream.org/ Nvidia discontinued/are discontinuing the GameStream service that you would have relied on before. Source: over 1 year ago
  • Do I need subscription on GeforceNow to cast my PC to Nvidia Shield tv_?
    Put Moonlight on the Shield and Sunshine on your PC. Alternatively, I think you can still use Steamlink to stream from PC to Shield TV. Source: over 1 year ago
  • ⟳ 4 apps added, 72 updated at f-droid.org
    Moonlight Game Streaming (version 12.0.1): Play games from your PC on Android. Source: over 1 year ago
  • issues with remote desktop connection
    Most of the problem is to do with the limitations of RDP, (edit, RDP = Remote Desktop Protocol) look into an alternative like https://moonlight-stream.org/ or parsec. Source: over 1 year ago
  • How to play split screen game on AnyDesk ?
    An easy way to do this would be to setup something like this (it's free) https://moonlight-stream.org/ if you have an Nvidia GPU. Otherwise, Steam can share your screen in a similar way but in my experience it's not that good. 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 / 5 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 Moonlight-Stream.org and NumPy, you can also consider the following products

Parsec - Streams games locally or over the internet

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

Geforce Now - Underpowered PC can now pack the punch of high-performance GeForce GTX GPUs with GeForce NOW.

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

Shadow - Transform any device into a supercharged gaming machine.

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