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Plotly VS Nagios

Compare Plotly VS Nagios 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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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

Nagios logo Nagios

Complete monitoring and alerting for servers, switches, applications, and services
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Nagios Landing page
    Landing page //
    2023-10-21

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Nagios features and specs

  • Extensive Community Support
    Nagios has a large and active user community, which means you can easily find help and resources online. There are numerous plugins and add-ons developed by the community that can extend the functionality of Nagios.
  • Highly Customizable
    Nagios is highly customizable and flexible. It allows you to tailor monitoring to suit your specific needs, including creating custom plugins, modifying configuration files, and integrating with other tools.
  • Comprehensive Monitoring
    Nagios provides detailed monitoring of network services, host resources, and infrastructure systems. This includes the ability to monitor CPU load, disk usage, memory, and more.
  • Alerting and Notification
    Nagios has robust alerting and notification features that ensure you can stay informed of any issues or downtime. Alerts can be sent via email, SMS, or other communication channels.
  • Scalable
    Nagios is scalable and can grow with your organization. It supports a large number of hosts and services, making it suitable for both small and large enterprises.

Possible disadvantages of Nagios

  • Steep Learning Curve
    Nagios can be quite complex to set up and configure, especially for newcomers. The learning curve is steep, requiring time and effort to fully understand and utilize its capabilities.
  • Manual Configuration
    A significant amount of configuration is manual, particularly in the open-source version. This can be time-consuming and prone to human error, especially in larger environments.
  • Interface
    The user interface of Nagios is often considered outdated and less intuitive compared to other modern monitoring tools. The web interface can be difficult to navigate and is not as visually appealing.
  • Performance Issues
    Nagios can experience performance issues, particularly when monitoring a large number of hosts and services. It can become resource-intensive, requiring careful optimization and tuning.
  • Cost of Enterprise Version
    The enterprise version of Nagios, Nagios XI, comes with a significant cost. While it offers additional features, support, and a more user-friendly interface, it might not be affordable for all organizations.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Nagios videos

+ Add

Stop using Nagios - Andy Sykes

More videos:

  • Review - Bernd Erk - Why favour Icinga over Nagios
  • Review - How Nagios XI Works

Category Popularity

0-100% (relative to Plotly and Nagios)

Plotly

Nagios

Data Visualization
100 100%
Data Visualization
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Log Management
0 0%
Log Management
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 Plotly and Nagios

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Nagios Reviews

11 Best Nagios Alternatives (Free & Open Source) in 2024
Nagios is an open source network monitoring solution. It helps organizations to identify and resolve IT infrastructure issues. However, Nagios could be difficult integrate into automatic provisioning processes. There are few other issues with Nagios as well. Here, is a curated list of top tools that can replace Nagios. This list consists of paid as well as open-source...
Source: www.guru99.com
The Best Nagios Alternatives for Server, Application and Network Monitoring
Nagios is a very strong system monitoring package but its ability to compete in both the free and paid system monitoring market is frequently challenged. The free tool is very comprehensive. However, the Nagios team has taken away the traffic analysis functions from this, moving them off into a separate paid tool, which puts Nagios Core at a disadvantage when compared to...
Source: www.websentra.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
It’s also important to note that Nagios is completely open-source, which means that it’s free to use. However, “free to use” doesn’t mean that it won’t cost you anything. Often, the reason users look for alternatives to tools like Nagios is because of their open-source nature. Self-hosting a tool of this magnitude can be even more expensive than purchasing a SaaS subscription.
Source: betterstack.com
The Best Cacti Monitoring Alternatives
Nagios is free for small environments with seven or fewer nodes and hosts. Its paid version starts at $1995 for the license and is priced per user. There is also a variety of free training options for Nagios available online. Both of Nagios’ paid versions include a free trial.
Source: www.webservertalk.com
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Nagios Core is an open-source Linux/Unix systems monitoring and alerting tool that can be extended through custom plugins, providing flexible Linux server monitoring. It remotely executes different plugins (executables or scripts) on your Linux server using the NRPE (Nagios Remote Plugin Executor) add-on, which gives you comprehensive monitoring data, including OS metrics,...
Source: sematext.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Nagios mentions (0)

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

What are some alternatives?

When comparing Plotly and Nagios, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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