Software Alternatives, Accelerators & Startups

PyTorch VS Zabbix

Compare PyTorch VS Zabbix 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.

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...

Zabbix logo Zabbix

Track, record, alert and visualize performance and availability of IT resources
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Zabbix Landing page
    Landing page //
    2024-10-02

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

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.

PyTorch videos

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Zabbix videos

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

Category Popularity

0-100% (relative to PyTorch and Zabbix)
Data Science And Machine Learning
Monitoring Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Log Management
0 0%
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 PyTorch and Zabbix

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...

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...
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

Social recommendations and mentions

Based on our record, PyTorch seems to be a lot more popular than Zabbix. While we know about 133 links to PyTorch, 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.

PyTorch mentions (133)

  • 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 / 9 days ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / 22 days ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / about 1 month ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 3 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 3 months ago
View more

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: about 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

What are some alternatives?

When comparing PyTorch and Zabbix, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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

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

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