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PyTorch VS Parsec

Compare PyTorch VS Parsec and see what are their differences

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PyTorch logo PyTorch

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

Parsec logo Parsec

Streams games locally or over the internet
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Parsec Landing page
    Landing page //
    2023-10-09

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Parsec features and specs

  • High Performance
    Parsec provides low latency and high-quality streaming even for demanding tasks like gaming and video editing.
  • Cross-Platform Support
    Parsec is available on multiple platforms, including Windows, macOS, Linux, Android, and iOS, allowing users to connect from various devices.
  • Ease of Use
    The application features a user-friendly interface that makes setup and connection straightforward, even for beginners.
  • Collaboration Features
    Parsec allows multiple users to connect and control a single machine, making it useful for collaborative projects and remote work.
  • Security
    Parsec uses SSL and DTLS encryption to ensure data integrity and privacy during remote sessions.
  • Customization
    Users can fine-tune settings for resolution, bitrate, and frame rate to optimize performance based on their network conditions.

Possible disadvantages of Parsec

  • Internet Dependence
    High-quality and low-latency performance heavily depends on a stable and fast internet connection, which can be a limitation in some areas.
  • Subscription Cost
    Advanced features and commercial use require a paid subscription, which may be a barrier for some users or small businesses.
  • Resource Intensive
    The host machine needs to be powerful enough to handle the encoding required for high-quality video streaming, which can be demanding on system resources.
  • Limited Offline Capabilities
    Parsec primarily functions as an online solution and lacks robust offline features for situations where internet access is intermittent or unavailable.
  • Compatibility Issues
    Despite wide platform support, there can still be compatibility issues with certain hardware or software setups, which may require troubleshooting.
  • Privacy Concerns
    Users might have concerns about sharing control of their machine or files when collaborating, posing potential security risks if not managed carefully.

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Analysis of Parsec

Overall verdict

  • Overall, Parsec is considered a good option for anyone needing remote access or streaming capabilities. Its robust performance and user-friendly interface make it a reliable choice for various applications.

Why this product is good

  • Parsec (parsec.app) is widely appreciated for its low-latency, high-quality remote desktop and game streaming capabilities. It allows users to access and control their computers from anywhere, making it a versatile solution for gamers, creatives, and professionals alike. The software's ease of setup and use, combined with its strong performance even in low-bandwidth environments, contribute to its positive reputation.

Recommended for

  • Gamers looking for low-latency game streaming to play with friends remotely.
  • Professionals needing access to their desktop environment from different locations.
  • Creative professionals who require remote collaboration or access to powerful hardware for rendering tasks.
  • Anyone seeking a high-quality remote desktop experience with minimal setup complexity.

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Parsec videos

+ Add

Is Parsec any good? First Impressions with UNIST, Skullgirls, and DBFZ

More videos:

  • Review - Gaming On A $17 Office PC with Parsec! | OzTalksHW
  • Review - Parsec Cloud Gaming Review

Category Popularity

0-100% (relative to PyTorch and Parsec)

PyTorch

Parsec

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

User comments

Share your experience with using PyTorch and Parsec. 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 PyTorch and Parsec

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Parsec Reviews

Top Remote Desktop Software for Gaming
Like AnyDesk or TeamViewer, Parsec was not initially an RDP gaming solution. It was developed primarily for developers and engineers who needed a remote connection to work on their projects. Thus, a main feature Parsec offered was great graphics.
Source: cloudzy.com
Moonlight game streaming alternatives
Released 6 years ago, Parsec is an application that lets users capture their desktop. This is mainly used by players to play games on their computers from different devices. Players can stream their games on their own personal computers for free through Parsec. But there is also an option to rent servers to play games on. Moreover, it prioritizes user safety over everything...
Source: androidgram.com
15 Best Parsec Alternatives [Remote Desktop Tools] in 2022
Parsec is a proprietary desktop capture application primarily used to play games via video streaming. Using Parsec, users can stream video game footage over an Internet connection, allowing one person to run the game on one computer but play it remotely from another device. While its primary focus is gaming, Parsec can also be used as a low-latency desktop sharing software.
Source: phreesite.com
10 Best Hamachi Alternatives for Virtual LAN Gaming
Parsec is a desktop capturing application mainly used for playing video games through video streaming. Still, it also allows the creation of virtual LAN gaming servers using the local co-op feature.
Source: techviral.net
11 Best Parsec Alternatives & Similar Apps
Parsec has been known for its ability to connect your smartphone to the desktop. However, some Parsec alternatives are also known for offering a lot more to their users.
Source: www.regendus.com

Social recommendations and mentions

Based on our record, Parsec should be more popular than PyTorch. It has been mentiond 370 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.

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

Parsec mentions (370)

  • Comet open source remote KVM from GL-iNet
    There's not much to it to be honest. If you've got Home Assistant running then https://www.home-assistant.io/integrations/wake_on_lan/ will sort you out, and I have Parsec (https://parsec.app) installed on my desktop so that it starts on boot. - Source: Hacker News / 3 months ago
  • Raspberry Pi 5 now supports Valve's Steam Link
    Parsec[1] would be interesting to compare. [1] https://parsec.app/. - Source: Hacker News / 6 months ago
  • How I created my first open-source project.
    Everything started with me trying to log into my AWS EC2 machine. Every time I wanted to connect to AWS EC2 using Parsec, I had to type the entire OS password, because there isn't a way to paste over Parsec. And yes, it is a large password. Is it a boring activity? Yes! I did it every time until my patience ran off and my laziness took over. - Source: dev.to / 11 months ago
  • SF's AI boom can't stop real estate slide, as office vacancies reach new record
    Yep I agree. The other advantage Vancouver always had is that there's a pretty significant amount of residential Downtown and near Downtown, and so Downtown didn't fully empty out as badly as many American cities, and there are a massive amount of workers that can walk and bike to work. I don't have familiarity with the needs of digital effects workers, but I'm unsure that there were any technical barriers for the... - Source: Hacker News / 11 months ago
  • Are the Apple addicts ok?
    If that's an option, you could use a Macbook air and something like https://parsec.app/ to stream from a windows machine. Source: over 1 year ago
View more

What are some alternatives?

When comparing PyTorch and Parsec, you can also consider the following products

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

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

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.

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