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Snipe-IT VS NumPy

Compare Snipe-IT VS NumPy and see what are their differences

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  3. » Reviews
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Snipe-IT logo Snipe-IT

Managing assets with a Google doc or a shared Excel spreadsheet is more common than you think.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Snipe-IT Landing page
    Landing page //
    2022-03-12
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

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.

Snipe-IT videos

+ Add

Snipe-IT Turbo Tutorial: Custom Fields

More videos:

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

NumPy videos

+ Add

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

Category Popularity

0-100% (relative to Snipe-IT and NumPy)

Snipe-IT

NumPy

Asset Management
100 100%
Asset Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
IT Asset Management
100 100%
IT Asset Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Snipe-IT and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Snipe-IT and NumPy

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.
Source: cloudsmallbusinessservice.com
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

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.
Source: www.analyticsvidhya.com
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

Social recommendations and mentions

NumPy might be a bit more popular than Snipe-IT. We know about 119 links to it since March 2021 and only 97 links to Snipe-IT. 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.

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 / 2 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

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 / 3 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 / 7 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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

When comparing Snipe-IT and NumPy, you can also consider the following products

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.

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

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.

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

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