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Plotly VS sshuttle

Compare Plotly VS sshuttle and see what are their differences

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

Plotly logo Plotly

Low-Code Data Apps

sshuttle logo sshuttle

sshuttle: where transparent proxy meets VPN meets ssh
  • Plotly Landing page
    Landing page //
    2023-07-31
  • sshuttle Landing page
    Landing page //
    2023-08-04

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.

sshuttle features and specs

  • Simplicity
    sshuttle is easy to set up and use, requiring minimal configuration. It leverages SSH, a tool that many are already familiar with.
  • No Root Access Required
    sshuttle can be used without root access on the client side, making it accessible in environments where administrative privileges are restricted.
  • Cross-Platform
    sshuttle works on multiple operating systems including Linux and macOS, providing flexibility in different environments.
  • Compatibility
    As it operates at the IP level, sshuttle can work with any program and command-line tools that interact over TCP/IP without requiring any changes.
  • Security
    Utilizes SSH's encryption mechanisms, ensuring data is securely tunneled between the client and the server.

Possible disadvantages of sshuttle

  • Performance
    While convenient, sshuttle may not perform as well as more specialized VPN solutions, especially under heavy network load.
  • Limited Features
    Compared to dedicated VPN software, sshuttle lacks advanced features such as traffic shaping, advanced logging, and fine-grained access controls.
  • No UDP Support
    sshuttle primarily supports TCP, and has limited support for UDP, which may be a drawback for applications that rely heavily on UDP.
  • Dependency on SSH Servers
    Requires a functional SSH server at the remote end, which may not always be feasible or permitted in all network configurations.
  • Complex Networks
    Handling complex network environments may get tricky. More sophisticated routing configurations or VPN setups can better manage such cases.

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.

Analysis of sshuttle

Overall verdict

  • sshuttle is generally considered a good and reliable tool for securely tunneling traffic. It is suitable for users who need an easy way to bypass firewalls and access remote networks securely without the complexity of traditional VPNs.

Why this product is good

  • sshuttle is a popular tool because it combines the simplicity of SSH tunneling with the transparency of a VPN, allowing users to forward traffic easily over an SSH connection. It is particularly appreciated for its ability to overcome restrictive firewalls and provide secure access to resources without needing root privileges (on the client side) or requiring a VPN setup on the server.

Recommended for

  • Developers and system administrators who need to access office or remote networks securely.
  • Users who need to bypass firewalls or restrictive network conditions.
  • People seeking a simpler alternative to VPNs, especially when working with SSH-accessible servers.
  • Individuals who require a temporary or lightweight solution for secure network access.

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

sshuttle videos

+ Add

Hak5 1224.1, SShuttle and Linux Talk

More videos:

  • Review - Hak5 1224.2, SShuttle and Linux Talk
  • Review - Hak5 1224.3, SShuttle and Linux Talk

Category Popularity

0-100% (relative to Plotly and sshuttle)

Plotly

sshuttle

Data Visualization
100 100%
Data Visualization
0% 0
VPN
0 0%
VPN
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Security & Privacy
0 0%
Security & Privacy
100% 100

User comments

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

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

sshuttle Reviews

We have no reviews of sshuttle yet.
Be the first one to post

Social recommendations and mentions

Plotly might be a bit more popular than sshuttle. We know about 34 links to it since March 2021 and only 29 links to sshuttle. 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 (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 / 4 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

sshuttle mentions (29)

View more

What are some alternatives?

When comparing Plotly and sshuttle, 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.

Advanced Onion Router - Team Elite - Our work - Advanced Onion Router

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

Outline by Alphabet - Control and build your own VPN ๐Ÿ› ๏ธ

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.

Mozilla VPN - A VPN from the trusted pioneer in internet privacy.

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