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NumPy VS Parsec

Compare NumPy VS Parsec and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Parsec logo Parsec

Streams games locally or over the internet
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Parsec Landing page
    Landing page //
    2023-10-09

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.

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 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.

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.

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

Parsec videos

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 NumPy and Parsec)
Data Science And Machine Learning
Game Streaming
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Games
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 NumPy and Parsec

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

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.

Social recommendations and mentions

Based on our record, Parsec should be more popular than NumPy. 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.

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

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 NumPy and Parsec, you can also consider the following products

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

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

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

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

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

Shadow - Transform any device into a supercharged gaming machine.