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Portainer VS Plotly

Compare Portainer VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Portainer logo Portainer

Simple management UI for Docker

Plotly logo Plotly

Low-Code Data Apps
  • Portainer Landing page
    Landing page //
    2023-07-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Portainer features and specs

  • User-Friendly Interface
    Portainer provides a simple and intuitive web-based UI that makes it easy for users to manage Docker environments and Kubernetes clusters, reducing the need for command-line operations.
  • Multi-platform Support
    Portainer supports a wide range of platforms including Docker, Docker Swarm, Kubernetes, and Azure ACI, allowing users to manage different containerization technologies from a single interface.
  • Simplified Management
    Portainer allows for easy deployment, configuration, and management of containers and services, streamlining operational tasks and improving productivity.
  • RBAC and Authentication
    Portainer includes built-in role-based access control (RBAC) and authentication mechanisms, enabling secure access management and user permissions control.
  • Monitoring and Insights
    Portainer provides built-in monitoring and analytics features that give insights into resource utilization, container health, and performance metrics.
  • Community Support
    Portainer has a large and active community, offering extensive documentation, forums, and third-party resources to help users troubleshoot issues and optimize their environments.

Possible disadvantages of Portainer

  • Limited Advanced Features
    Compared to other enterprise-grade container management solutions, Portainer might lack some advanced features and customizations needed for large-scale, complex deployments.
  • Scalability Concerns
    While good for small-to-mid-sized environments, Portainer may face challenges in highly scaled or extremely high-availability environments due to its architecture and performance limitations.
  • Dependency on External Tools
    For certain specialized tasks or detailed performance monitoring, Portainer often requires the integration of external tools, which can complicate the overall setup and management process.
  • Learning Curve for Advanced Use
    While basic features are user-friendly, leveraging advanced functionalities like managing Kubernetes can come with a steep learning curve for new users.
  • Resource Consumption
    Deploying Portainer adds an extra layer of resource consumption. The overhead might be minimal for small systems but could become significant in resource-constrained environments.

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.

Analysis of Portainer

Overall verdict

  • Portainer is generally regarded as a valuable tool for container management due to its ease of use, comprehensive feature set, and support for multiple container platforms. Its web-based interface and robust functionality make it a favorable choice for many users. However, whether it is good for you depends on your specific needs, scale, and the complexity of your container environment.

Why this product is good

  • Portainer is a popular container management tool that provides a user-friendly interface for managing Docker, Kubernetes, and other container environments. It simplifies container orchestration by offering features such as an intuitive dashboard, easy container deployment, network management, and monitoring. This makes it an excellent choice for both novice and experienced users seeking to manage containerized applications efficiently.

Recommended for

  • Small to medium-sized development teams looking for an easy-to-use container management solution.
  • Organizations that require a simple interface for managing multiple Docker or Kubernetes instances.
  • Users who prefer a visual approach to managing containers over command-line interfaces.
  • Developers and IT professionals seeking to streamline container orchestration and monitoring.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Portainer videos

+ Add

Putting a UI around Docker with Portainer

More videos:

  • Demo - Portainer - The EASIEST WAY to manage your Docker apps! (Overview + Demo)
  • Review - Portainer for Docker Management

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

Category Popularity

0-100% (relative to Portainer and Plotly)

Portainer

Plotly

DevOps Tools
100 100%
DevOps Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Portainer and Plotly. 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 Portainer and Plotly

Portainer Reviews

Self Hosting Like Its 2025
Iโ€™ve been using Portainer for quite some time, and its widespread adoption in both homelab and professional environments makes it an excellent tool for learning through practical application. In my view, it stands out as the most stable web-managed container control interface available. It integrates seamlessly with Docker, Kubernetes, and even Podman. Portainer offers an...
Source: kiranet.org
Top 10 Best Container Software in 2022
If you are hunting for a container software that can easily integrate with Ubuntu, then LXC is a reliable option. For semi-managed clustering, you can go for CoreOS. The business purposes solved by Portainer covers querying dockerHub repositories and it is in deed a good tool for beginners.
Source: www.softwaretestinghelp.com
OpenShift alternatives
The main advantage of Portainer is the flexibility of the software. In addition to Kubernetes, Docker Swarm and Docker can be used to manage clusters and containers. Portainer is based on open-source software and is offered in a freely available community version as well as a paid version with enterprise support. The software can be installed in cloud environments, on edge...
Source: www.ionos.com
7 Best Containerization Software Solutions of 2022
Portainer has one pricing edition that costs $0. A free trial of Portainer is also available if your for more advanced features.
Source: techgumb.com

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 thatโ€™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

Social recommendations and mentions

Portainer might be a bit more popular than Plotly. We know about 35 links to it since March 2021 and only 34 links to Plotly. 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.

Portainer mentions (35)

  • Deploy multiple apps on a single VPS with Docker
    Portainer also provides an open-source version. In comparison to Sliplane and Dokku, it lacks a deploy pipeline. It comes with a web-based UI and offers some features to manage more advanced cluster setups. - Source: dev.to / almost 2 years ago
  • Every Project Deserves its CI/CD pipeline, no matter howย small
    Portainer is a really great web UI which will help us to manage all our Docker hosts and Docker Swarm clusters very easily. Let's take a look at its interface where it lists all our stacks available in the swarm. - Source: dev.to / almost 3 years ago
  • paperless-ngx on Synology DS220+
    I've installed the container manager from Synology (Docker) and added portainer.io for better access. Source: about 3 years ago
  • Selfhosting Vaultwarden, How Is It Done?
    There are some docker management systems around, portainer.io seems popular, with a GUI (graphical user interface) and configurable templates. Also cloud management systems/cloud hosting seem to offer a GUI to create and manage containers. Source: about 3 years ago
  • Dashy - Cant get the widgets to show
    I am really new to the home lab game. I have been using linux heavily since I got my two pi's and set up docker, portainer.io, pi hole, dashy, etc. The problem I am having is no matter how many ways I try to add a widget as simple as a clock to my dashy it just break the whole page. I enabled highlighting in my nano so I could see any errors but I am still not finding what I am doing wrong. Does anybody have... Source: about 3 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

What are some alternatives?

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

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

Rancher - Open Source Platform for Running a Private Container Service

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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