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Zabbix VS NumPy

Compare Zabbix VS NumPy and see what are their differences

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Contents:
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  3. » Reviews
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Zabbix logo Zabbix

Track, record, alert and visualize performance and availability of IT resources

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Zabbix Landing page
    Landing page //
    2024-10-02
  • NumPy Landing page
    Landing page //
    2023-05-13

Zabbix features and specs

  • Open-source
    Zabbix is free and open-source, allowing for extensive customization and modification to meet specific needs without licensing costs.
  • Scalability
    Zabbix can handle a large number of devices and data points, making it suitable for both small businesses and large enterprises.
  • Comprehensive Monitoring
    Zabbix offers a wide range of monitoring capabilities including servers, networks, cloud services, and applications.
  • Alerting and Notification
    It provides robust alerting mechanisms, allowing notifications via email, SMS, and other methods.
  • Flexible Configuration
    The system allows for detailed and flexible configuration, accommodating various specific monitoring requirements.
  • Extensive API
    Zabbix comes with a comprehensive API that allows for integration with third-party tools and custom automation scripts.
  • Strong Community Support
    As an open-source project, Zabbix has a strong community that can provide support and share best practices.

Possible disadvantages of Zabbix

  • Complex Setup and Configuration
    Initial setup and configuration can be complicated and time-consuming, often requiring a steep learning curve.
  • Resource Intensive
    Zabbix can be resource-intensive, particularly on the database side, which might require substantial hardware resources for large deployments.
  • User Interface
    The user interface is considered less modern and user-friendly compared to some commercial alternatives.
  • Documentation
    While comprehensive, the documentation can sometimes be difficult to navigate for new users.
  • Maintenance Effort
    Ongoing maintenance, such as updates and troubleshooting, can be labor-intensive.
  • Dependency on MySQL
    The heavy reliance on MySQL databases can be a disadvantage for users preferring other database technologies.
  • Initial Costs for Large Scale Deployments
    Although the software is free, the costs associated with setting up and maintaining the necessary infrastructure and hardware can be significant, especially for larger deployments.

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.

Zabbix videos

+ Add

An overview of Zabbix 4.0 and how we are using it.

More videos:

  • Review - Zabbix Monitoring Solution - Overview
  • Review - ZABBIX Network Discovery For Dynamic Deployments

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 Zabbix and NumPy)

Zabbix

NumPy

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Log Management
100 100%
Log Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Zabbix 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 Zabbix and NumPy

Zabbix Reviews

  1. Stan
    · Founder at SaaSHub ·
    Indispensable

    Zabbix has been part of my toolbox for quite some time. I can easily say it's an indispensable tool for me now.

    Managing a dozen servers without Zabbix would be unimaginable. I'm monitoring all of this: CPU, Memory, Hard-drives, website response times, downtime. The UI might be a bit "old school", but everything works flawlessly.

    With regards to hard-drive monitoring, I love the machine learning option that allows you to "predict" the number of days before running out of space. That's quite helpful, as I've got some of my servers down due to running out of space multiple times in the past (before I was using Zabbix).

    👍 Pros:    Open-source|It can monitor everything
    👎 Cons:    The ui is a bit unintuitive in some cases
Self Hosting Like Its 2025
If you’re looking for straightforward monitoring and the thought of setting up a full Zabbix or Grafana stack seems daunting, this software is a real lifesaver. With just one deployment, you can monitor your services and receive notifications through a wide variety of channels including…
Source: kiranet.org
11 Best Nagios Alternatives (Free & Open Source) in 2024
Unlimited scaling: Zabbix is a flexible software that lets you monitor anything you want. It is highly scalable as it helps you manage both multi-tenant enterprise environments and your home.
Source: www.guru99.com
The Best Nagios Alternatives for Server, Application and Network Monitoring
Zabbix is a very strong competitor to Nagios and its development is very encouraging. Zabbix is completely free to use, which makes it a competitor to Nagios Core. Zabbix beats Nagios in the free monitoring market because it has a good frontend, which Nagios Core lacks and it also provides NetFlow monitoring, which isn’t present in Nagios Core – that is a separate paid...
Source: www.websentra.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
Zabbix, a widely adopted open-source monitoring tool, offers a range of practical features. It allows you to monitor various aspects of your system, including transactions, application performance, and real browser monitoring. With ready-to-use templates for different servers and operating systems, Zabbix simplifies the monitoring process.
Source: betterstack.com
Top 11 Grafana Alternatives & Competitors [2024]
Zabbix offers a unified view of the entire IT infrastructure through its user-friendly web-based interface. It delivers potent visualization capabilities through customizable dashboards, complemented by robust alerting mechanisms and comprehensive support for alert escalations.
Source: signoz.io

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

Based on our record, NumPy seems to be a lot more popular than Zabbix. While we know about 119 links to NumPy, we've tracked only 5 mentions of Zabbix. 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.

Zabbix mentions (5)

  • Learning Resources
    Official Zabbix trainings, documentation on zabbix.com ? Source: over 2 years ago
  • zabbix installation
    Hallo, do you know a howto to install zabbix on an ubuntu 20.04 ? I tried the manuals from zabbix.com for MySQL Apache but it didn't work. Source: almost 3 years ago
  • How I am getting experience as a linux admistrator (Follow Up)
    He suggested that I indeed should set up a home-lab. To be specific he said that I should create a minimal install of Centos 8 and install zabbix server on it (https://zabbix.com) and monitor a whole bunch of other VMs, services and stuff.. He said that I should set up a variety of VMs and also maybe host a website on one of them. And then if I was able to do that, I could help to share a load of zabbix related... Source: about 3 years ago
  • Ubuntu Impish 21.10 / Zabbix 6.0 LTS
    This is a fresh 21.10 install, using the install repo as detailed on the zabbix.com download page. Source: about 3 years ago
  • One dev conference speaker's family member died, need your help to fill the speaking slot on Nov 27/28
    Well, if you can't find anyone, I am more than happy to fill the slot with something regarding Zabbix - just let me know ;). Source: over 3 years ago

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 Zabbix and NumPy, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

Nagios - Complete monitoring and alerting for servers, switches, applications, and services

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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

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