Software Alternatives, Accelerators & Startups

OpenCV VS Parsec

Compare OpenCV VS Parsec and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Parsec logo Parsec

Streams games locally or over the internet
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Parsec Landing page
    Landing page //
    2023-10-09

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

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 OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

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.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

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 OpenCV 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

Share your experience with using OpenCV and Parsec. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenCV and Parsec

OpenCV 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.
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

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 OpenCV. 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.

OpenCV mentions (60)

  • 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 / 29 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 month ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 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 / 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

What are some alternatives?

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

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

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.

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

Shadow - Transform any device into a supercharged gaming machine.