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Parsec VS Pandas

Compare Parsec VS Pandas and see what are their differences

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Contents:
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  3. » Reviews
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Parsec logo Parsec

Streams games locally or over the internet

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Parsec Landing page
    Landing page //
    2023-10-09
  • Pandas Landing page
    Landing page //
    2023-05-12

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.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

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.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

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

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Parsec and Pandas)

Parsec

Pandas

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

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

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

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

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 / 10 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

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

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

NumPy - NumPy is the fundamental package for scientific computing with 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

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