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OpenCV VS Lansweeper

Compare OpenCV VS Lansweeper and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Lansweeper logo Lansweeper

Lansweeper discovers Windows, Linux and Mac machines in your network.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Lansweeper Landing page
    Landing page //
    2023-08-02

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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.

Lansweeper features and specs

  • Comprehensive IT Asset Management
    Lansweeper provides detailed insights into various assets including hardware, software, and user data, which helps in complete IT asset tracking and management.
  • Agentless Scanning
    Lansweeper offers agentless scanning capabilities, eliminating the need to install software agents on every device, which simplifies deployment and reduces management overhead.
  • Customization and Scalability
    The platform is highly customizable and scalable, accommodating the needs of both small and large enterprises by allowing tailored reporting and flexible asset management options.
  • Integration Capabilities
    Lansweeper integrates well with other IT management tools and platforms, such as service desks, network monitoring tools, and cybersecurity solutions, which enhances its utility in a wider IT ecosystem.
  • User-Friendly Interface
    The software features an intuitive and user-friendly interface, which makes navigation, reporting, and management tasks straightforward, even for users with limited technical expertise.

Possible disadvantages of Lansweeper

  • Cost
    While Lansweeper offers a rich set of features, it can be expensive, particularly for smaller organizations or startups with limited budgets for IT tools.
  • Learning Curve
    Despite its user-friendly interface, the depth and breadth of features can result in a steep learning curve for new users, requiring time and training to fully utilize the platform’s capabilities.
  • Resource Intensive
    Lansweeper can be resource-intensive, necessitating adequate server resources and potentially competing with other applications for bandwidth and processing power, which could be an issue in resource-limited environments.
  • Limited Real-time Monitoring
    The platform's focus is more on asset management rather than real-time monitoring, which might not suffice for organizations needing instant alerts and continuous observation of IT assets.
  • Complex Configuration
    Initial setup and configuration of Lansweeper can be complex, requiring a thorough understanding of your network and meticulous planning to ensure it is tailored to your organization’s specific needs.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Lansweeper videos

+ Add

IT Network Inventory | Agentless Network Discovery

Category Popularity

0-100% (relative to OpenCV and Lansweeper)

OpenCV

Lansweeper

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IT Asset Management
0 0%
IT Asset Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Monitoring Tools
0 0%
Monitoring 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 OpenCV and Lansweeper

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.
Source: www.labellerr.com
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.
Source: towardsdatascience.com

Lansweeper Reviews

11 NetBox Alternatives
Lansweeper is a website that manages all of your IT requirements manage IT assets and have full control over your IT. With the help of its great features, you can build your own centralized IT assets inventory and it will provide you full visibility of your IT estate. Lansweeper can handle all the assets and environments without installing any software on them and discovers...
Source: www.justalternativeto.com
9 Best Angry IP Scanner Alternatives Reviewed 2021 (Free & Paid)
Lansweeper clearly stands out from other network device scanners as it extends its capabilities into inventory management and machine maintenance. If you’re looking for a hybrid network scanner and inventory manager, Lansweeper is a great tool to use and is compatible in any Windows environment. You can use Landsweeper completely free, tracking up to 100 assets. The...
Source: www.comparitech.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 59 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 (59)

  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 13 days 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 / 5 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 / 6 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 / 7 months ago
  • Built in Days, Acquired for $20K: The NuloApp Story
    First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago
View more

Lansweeper mentions (0)

We have not tracked any mentions of Lansweeper yet. Tracking of Lansweeper recommendations started around Mar 2021.

What are some alternatives?

When comparing OpenCV and Lansweeper, 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.

Asset Panda - The cloud is playing a very important role for companies who utilize asset management software to track their assets or inventory. See how Asset Panda is leading the field thanks to their cloud-based tracking platform.

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

ALVAO IT Asset Management - ALVAO ITAM software helps you manage a wide range of assets, such as hardware, software, data, and people - it is up to you what you want to track.

NumPy - NumPy is the fundamental package for scientific computing with Python

FreeMeter - Monitor network bandwidth (C#.NET 2k/XP+). Desktop and Systray graph.

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