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Plotly VS Headscale

Compare Plotly VS Headscale and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Headscale logo Headscale

An open source, self-hosted implementation of the Tailscale control server
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Headscale Landing page
    Landing page //
    2023-10-20

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.

Headscale features and specs

  • Open Source
    Headscale is open-source, meaning it is free to use, modify, and distribute. This promotes transparency and encourages community collaboration.
  • Tailscale Compatibility
    Headscale is designed to be compatible with the Tailscale client, allowing users to leverage their existing Tailscale configurations in an alternative backend.
  • Self-Hosted
    Headscale allows users to self-host their own coordination server, providing greater control over their network and data privacy.
  • Community Support
    Being an open-source project, Headscale benefits from community-driven support and contributions, which may lead to rapid feature development and issue resolution.
  • Scalability
    Users can scale their deployments according to their needs without being restricted by commercial licensing models.

Possible disadvantages of Headscale

  • Technical Expertise Required
    Implementing and maintaining a self-hosted solution like Headscale requires a certain level of technical knowledge and expertise, potentially limiting its accessibility to less technical users.
  • Limited Official Support
    Being a community-driven project, Headscale may not have the same level of official support or comprehensive documentation as some commercial alternatives.
  • Configuration Complexity
    Configuring and managing a self-hosted Headscale server can be more complex compared to using managed solutions like Tailscale, potentially posing a challenge for some users.
  • Feature Parity
    While Headscale aims to be compatible with Tailscale, there may be some features or updates that are not immediately available or fully supported.
  • Development Reliance
    As an independent project, Headscale's development relies heavily on community contributions, which can affect the speed of updates or new feature integrations.

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

Headscale videos

+ Add

Testing out headscale locally for homelab setup

More videos:

  • Review - Tutorial: Using Tailscale Overlay Network VPN with the Self Hosted Headscale Controller

Category Popularity

0-100% (relative to Plotly and Headscale)

Plotly

Headscale

Data Visualization
100 100%
Data Visualization
0% 0
VPN
0 0%
VPN
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Cloud VPN
0 0%
Cloud VPN
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 Headscale

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

Headscale Reviews

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

Social recommendations and mentions

Headscale might be a bit more popular than Plotly. We know about 45 links to it since March 2021 and only 33 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.

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

Headscale mentions (45)

  • Set up: VPN - Part 1
    Root@hz-headscale-tmp-1:~# export HEADSCALE_VERSION="0.23.0" \ && export HEADSCALE_ARCH="arm64" \ && wget --output-document=headscale.deb "https://github.com/juanfont/headscale/releases/download/v${HEADSCALE_VERSION}/headscale_${HEADSCALE_VERSION}_linux_${HEADSCALE_ARCH}.deb" <...redacted for brevity..> 2024-09-28 12:24:54 (189 MB/s) - ‘headscale.deb’ saved [17022910/17022910]. - Source: dev.to / 8 months ago
  • The New Internet
    > I still have to rely on a landlord. This is a very good point. Counterpoint is self-hosting Headscale which I mentioned in another comment here: https://github.com/juanfont/headscale Works with native Tailscale clients with a few config changes. I use it myself. - Source: Hacker News / 10 months ago
  • SSH has become our universal (Unix) external access protocol
    Tailscale is just a commercial service that builds upon wireguard. It automatically generates certificates for each of your devices, ensures they're rotated and up to date, automatically configures routing and DNS between your devices and offers some additional functionality. Tailscale has open source clients but a proprietary server to do this, but you can use the open source alternative headscale instead: - Source: Hacker News / 10 months ago
  • List of ngrok/Cloudflare Tunnel alternatives and other tunneling software and services. Focus on self-hosting.
    Headscale - Open source implementation of Tailscale control server. Can be used with Tailscale's official open source client. Written in Go. - Source: dev.to / about 1 year ago
  • Securely Accessing Private AWS Resources from GitHub Actions with TailScale
    One more thing, you can host Tailscale Control Server yourself if you want, which is a plus. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Plotly and Headscale, 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.

TailScale - Private networks made easy Connect all your devices using WireGuard, without the hassle. Tailscale makes it as easy as installing an app and signing in.

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

NetBird - Connect your devices into a single secure private WireGuard®-based mesh network with SSO/MFA and manage access with just a few clicks.

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

Netmaker - Netmaker automates mesh VPN's and software-defined networks using WireGuard.

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