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HNdeck VS Plotly

Compare HNdeck VS Plotly and see what are their differences

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Contents:
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HNdeck logo HNdeck

Browser for staying in touch with what's happening on HN

Plotly logo Plotly

Low-Code Data Apps
  • HNdeck Landing page
    Landing page //
    2021-10-15
  • Plotly Landing page
    Landing page //
    2023-07-31

HNdeck features and specs

  • User-Friendly Interface
    HNdeck provides a clean and intuitive interface that makes it easy for users to navigate and access various features without a steep learning curve.
  • Real-time Updates
    The platform offers real-time updates, ensuring that users have access to the most current information and discussions from Hacker News.
  • Customizable Layout
    Users can customize the layout of HNdeck to fit their personal preferences, allowing for a tailored experience when accessing news and updates.
  • Cross-Platform Compatibility
    HNdeck is designed to work seamlessly across different devices and operating systems, providing flexibility for users to access it from anywhere.
  • Integrated Search Functionality
    The platform includes a powerful search feature that allows users to quickly find specific topics or discussions they are interested in on Hacker News.

Possible disadvantages of HNdeck

  • Limited Third-Party Integrations
    HNdeck might offer limited integration options with other apps and services, which can be a downside for users looking to connect it with their existing workflows.
  • Subscription Costs
    While some features may be free, users may have to pay a subscription fee to access premium features, which might not be suitable for budget-conscious users.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, some of the more advanced features might require a bit of time to learn and utilize effectively.
  • Dependence on Hacker News
    As a platform focused on Hacker News, the value of HNdeck is largely dependent on the quality and quantity of content available on Hacker News itself.
  • Potential Overload of Information
    The real-time nature and comprehensive coverage of topics could lead to information overload for users who prefer a more curated news experience.

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 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.

HNdeck videos

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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 HNdeck and Plotly)

HNdeck

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Content Creators
100 100%
Content Creators
0% 0
Data Dashboard
0 0%
Data Dashboard
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 HNdeck and Plotly

HNdeck Reviews

We have no reviews of HNdeck yet.
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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 seems to be a lot more popular than HNdeck. While we know about 33 links to Plotly, we've tracked only 1 mention of HNdeck. 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.

HNdeck mentions (1)

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 / 3 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 / 5 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 / about 1 year 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

What are some alternatives?

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

Recut - Edit silence out of videos automatically

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.

Streamlit - Turn python scripts into beautiful ML tools

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

Whisker menu - A menu that provides access to favorites, recently used, and searching installed applications.

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

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