Software Alternatives, Accelerators & Startups

OpenCV VS Snipe-IT

Compare OpenCV VS Snipe-IT 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

Snipe-IT logo Snipe-IT

Managing assets with a Google doc or a shared Excel spreadsheet is more common than you think.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Snipe-IT Landing page
    Landing page //
    2022-03-12

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Snipe-IT features and specs

  • Open Source
    Snipe-IT is an open-source asset management tool, which means it can be freely used and modified according to the needs of the organization.
  • Cost-Effective
    Since it is open source, organizations can use Snipe-IT without incurring licensing fees, making it a cost-effective solution.
  • Customization
    The open-source nature of Snipe-IT allows for extensive customization to fit specific organizational needs and workflows.
  • Community Support
    A large and active community can offer support, plugins, and contributions to improve the software.
  • User-Friendly Interface
    Snipe-IT features an intuitive web-based interface that simplifies the process of managing assets.
  • Comprehensive Feature Set
    It offers robust features, including asset tracking, license management, and reporting, making it a well-rounded tool for asset management.
  • Highly Secure
    Security features like two-factor authentication and advanced user permissions help ensure that data is secure.

Possible disadvantages of Snipe-IT

  • Self-Hosting
    Requires self-hosting, which can be a burden for organizations without a dedicated IT staff or server resources.
  • Maintenance and Updates
    Organizations need to actively maintain and update the software to ensure it runs smoothly and securely.
  • Learning Curve
    Despite its user-friendly interface, there can be a learning curve for those not familiar with asset management systems or open-source software.
  • Limited Support
    While community support is available, professional support options may be limited compared to paid solutions.
  • Scalability Concerns
    Scalability might be an issue for very large organizations or those with complex asset management needs.
  • Technical Expertise Required
    Setup, configuration, and troubleshooting often require a certain level of technical expertise, which may not be available in all organizations.
  • Customization Complexity
    While customization is a pro, it can also become a con if the required changes are complex, demanding significant development time and skill.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Snipe-IT videos

Snipe-IT Turbo Tutorial: Custom Fields

More videos:

  • Review - Part 6 | Importing Assets In Snipe-IT
  • Review - Snipe-IT Promo

Category Popularity

0-100% (relative to OpenCV and Snipe-IT)
Data Science And Machine Learning
Asset Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
IT Asset Management
0 0%
100% 100

User comments

Share your experience with using OpenCV and Snipe-IT. 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 Snipe-IT

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.

Snipe-IT Reviews

12 Best Asset Management Software For IT Teams In 2023
Why I picked Snipe-IT: I chose Snipe-IT because of its ability to allow you to customize the software to your needs. Its open-source design lets you modify the software to your liking so you can better manage your IT inventory like licenses, software, computers, smartphones, and more.
Source: thectoclub.com
20 Best IT Asset Management Software in 2023: ITAM Tools and Solutions
Snipe-IT is an open-source ITAM software that provides asset tracking, inventory management, and reporting capabilities. It offers automated asset discovery, hardware and software tracking, and depreciation management, making it easy for organizations to manage their assets and track their value over time. Snipe-IT’s user-friendly interface and customizable dashboards make...
Source: infraon.io
Top 7 Alternatives To Snipe-IT (ITAM Tool)
Complexity: Setting up and configuring Snipe-IT can be complex and challenging, especially for smaller organizations.Overall, while Snipe-IT is a robust ITAM tool, it may not be the best fit for every organization's IT team’s needs. Thus, it's important to weigh the benefits and drawbacks of any ITAM tool before making a decision.In light of this, let’s explore the...
Source: www.zluri.com
Top 10 Free It Asset Management Software
Snipe-IT Free Open Source Asset Management Software. Always know where your IT assets are, what’s out for repair, and when your service contracts are up. Never re-buy a license key again because you lost track of it.
Best Free Asset Tracking Software
As a web-based open source platform, Snipe-IT is a great choice for tinkerers who are comfortable adding their own third-party integrations to build the asset tracking software they need. It's very secure and updated regularly – a huge boon for any open source program – though you'll need to manually update it each time. Functionality is pretty basic: Snipe-IT tracks assets...
Source: tech.co

Social recommendations and mentions

Based on our record, Snipe-IT should be more popular than OpenCV. It has been mentiond 97 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 / 7 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 20 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 / 8 months ago
View more

Snipe-IT mentions (97)

  • Top 10 Cloud Asset Management Software for Modern Businesses [2025 Updated]
    Snipe-IT is an open-source cloud asset management software that simplifies IT Asset tracking for budget-conscious teams. Its clean interface and flexible Hosting options make it a standout for organizations seeking cost-effective Control over assets and licenses. - Source: dev.to / 3 months ago
  • Inventory for Insurance Purposes?
    At work I use snipeIT to manage our asset inventory, it's fairly quick to spin up with docker and it's quite customisable Https://snipeitapp.com/. Source: almost 2 years ago
  • Asset Management for family?
    Some of the top options would be https://snipeitapp.com or https://inventree.org I used Inventree briefly and honestly couldn’t bring myself to actually add enough stuff to make it useful for me but the software was solid. Source: almost 2 years ago
  • New job is overwhelming
    I very strongly disagree, use serial numbers if at all possible, set up Snipe-IT, and you'll never have to change labels again. As long as you are the one handling provisioning, repairs and such, or those who do is allowed access, you'll always know the location, status and ownership of everything in there. Source: almost 2 years ago
  • Software for entering order details
    This suggestion brought me to https://snipeitapp.com/ which looks interesting! Source: about 2 years ago
View more

What are some alternatives?

When comparing OpenCV and Snipe-IT, 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.

Lansweeper - Lansweeper discovers Windows, Linux and Mac machines in your network.

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

PartKeepr - PartKeepr is an open source inventory management system that you can alter according to the particular requirements of your business or of the area from where you are operating.