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Pagekite VS Plotly

Compare Pagekite VS Plotly and see what are their differences

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Pagekite logo Pagekite

Bring your localhost servers on-line.

Plotly logo Plotly

Low-Code Data Apps
  • Pagekite Landing page
    Landing page //
    2021-09-25
  • Plotly Landing page
    Landing page //
    2023-07-31

Pagekite features and specs

  • Easy Configuration
    Pagekite offers a straightforward setup process, allowing users to quickly configure and deploy their services online without needing deep networking knowledge.
  • No Need for Static IP
    It enables access to local servers without requiring a static IP address, making it ideal for users with dynamic IPs or on networks with strict NAT policies.
  • Supports Multiple Protocols
    Pagekite supports HTTP, HTTPS, and arbitrary TCP protocols, providing flexibility for different types of web services and applications.
  • Custom Subdomains
    Users can create custom subdomains, making it easier to remember and access their services remotely.
  • Security Features
    It includes HTTPS support, which helps in securing the data transmitted between users and servers.

Possible disadvantages of Pagekite

  • Performance Limitations
    As a relay service, it can introduce additional latency and may suffer from bandwidth limitations compared to direct connections.
  • Subscription Cost
    While a free tier is available, more advanced features and higher usage tiers require a subscription, which may not be cost-effective for some users.
  • Alternative Dependencies
    Pagekite requires the installation of software on the host machine to facilitate connections, which can be a drawback for users preferring a less intrusive method.
  • Limited to Specific Use Cases
    It’s primarily designed for smaller-scale personal or development use cases, making it less suitable for enterprise-level needs requiring higher performance and reliability.
  • Potential Security Risks
    While HTTPS support exists, exposing local services to the internet inherently carries security risks, especially if proper configurations and safeguards are not implemented.

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 Pagekite

Overall verdict

  • Pagekite is generally considered a good service for those who need to expose local servers to the web easily and securely.

Why this product is good

  • Secure
    The service offers strong encryption and security features to protect the data passing through its tunnels.
  • Versatile
    Pagekite supports a variety of protocols and can be used for a wide range of applications, including web development, remote access, and IoT.
  • Easy to use
    Pagekite is designed to be user-friendly, making it accessible even for those who aren't deeply technical. It provides a simple way to create secure tunnels from local servers to the internet.
  • Cost-effective
    For many users, Pagekite's pricing is reasonable and cost-effective, especially when considering the features and support provided.

Recommended for

  • Developers who need to demo web applications or APIs hosted locally.
  • Individuals looking to host home automation or IoT applications.
  • Small businesses or hobbyists who require a simple way to access applications running behind NAT or firewalls.
  • Anyone needing a secure and reliable way to expose local services to the internet.

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.

Pagekite videos

No Pagekite videos yet. You could help us improve this page by suggesting one.

Add video

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 Pagekite and Plotly)

Pagekite

Plotly

Testing
100 100%
Testing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Localhost Tools
100 100%
Localhost Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Pagekite and Plotly

Pagekite Reviews

Localtonet | Best Ngrok Alternatives
While Serveo, Localtunnel, and Pagekite are also viable options, Localtonet stands out with its intuitive user interface, extensive documentation, and helpful support team. Additionally, Localtonet offers a range of tunneling options, including HTTP/s, TCP, UDP, and UDP/TCP, making it a versatile tool for a variety of use cases.
Source: localtonet.com
Top 4 BEST Ngrok Alternatives In 2021: Review And Comparison
PagekiteOne time account setup is required.Supports HTTP/HTTPS, SSH, and TCP.One time subdomain setup which is tied to email address is required and can be used every time when tunnel setup is required.Both free and paid options are available. (Free for a month).Subdomain is supported as first class citizens. It is a part of the account setup itself.
Source: www.softwaretestinghelp.com
5 Free Tools to Expose localhost to Internet
Pagekite is yet another tool you can use on your PC to expose localhost to internet. Just like other tools in the list, it takes a port number from you along with a subdomain name and create a public link. In order to use in your PC, you need to be sure that you have Python2 installed there. There are just two commands that you have to run in order t get started with it....
Source: www.ilovefreesoftware.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 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

Social recommendations and mentions

Based on our record, Plotly should be more popular than Pagekite. It has been mentiond 34 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.

Pagekite mentions (12)

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 / 6 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!🤓
    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 / almost 2 years 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 Pagekite and Plotly, you can also consider the following products

ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.

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.

CentminMod - Centmin Mod is a LEMP stack shell menu based auto installer.

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

VPSSIM - VPSSIM provides installer enabling users to install LEMP stack on their servers.

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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