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Moonlight-Stream.org VS TensorFlow

Compare Moonlight-Stream.org VS TensorFlow 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...

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Moonlight-Stream.org Landing page
    Landing page //
    2021-07-31
  • TensorFlow Landing page
    Landing page //
    2023-06-19

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.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

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.

Moonlight-Stream.org videos

+ Add

Play any PC Game on Your Android Device

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Moonlight-Stream.org and TensorFlow)

Moonlight-Stream.org

TensorFlow

Games
100 100%
Games
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Game Streaming
100 100%
Game Streaming
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Moonlight-Stream.org and TensorFlow. 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 Moonlight-Stream.org and TensorFlow

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.
Source: www.regendus.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, Moonlight-Stream.org seems to be a lot more popular than TensorFlow. While we know about 284 links to Moonlight-Stream.org, we've tracked only 7 mentions of TensorFlow. 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
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
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What are some alternatives?

When comparing Moonlight-Stream.org and TensorFlow, you can also consider the following products

Parsec - Streams games locally or over the internet

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Shadow - Transform any device into a supercharged gaming machine.

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

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