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Plotly VS NumPad

Compare Plotly VS NumPad 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

NumPad logo NumPad

A web-based text editor with a powerful built-in calculator
  • Plotly Landing page
    Landing page //
    2023-07-31
  • NumPad Landing page
    Landing page //
    2023-02-09

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.

NumPad features and specs

  • Enhanced Productivity
    NumPad offers customizable shortcut keys that can speed up data entry and enhance productivity for users who frequently input numerical data.
  • Ergonomic Design
    The design of NumPad is likely ergonomic, catering to comfort during prolonged use and reducing strain on hands and wrists.
  • Wide Compatibility
    NumPad is compatible with various devices and operating systems, making it versatile for different users across multiple platforms.
  • Portability
    Being a standalone device, NumPad is portable and can easily be used with laptops and devices lacking a built-in numeric keypad.

Possible disadvantages of NumPad

  • Additional Cost
    Purchasing a NumPad can be an additional expense, especially for users who already have a keyboard with a built-in numeric keypad.
  • Requires USB/Bluetooth Connection
    Using NumPad requires an available USB port or Bluetooth connection, which might be limited on some devices, especially laptops.
  • Learning Curve
    Customization features might introduce a learning curve for some users, requiring time to set up and adapt to the new functionalities.
  • Potential Compatibility Issues
    Although designed for wide compatibility, some users might experience compatibility issues with less common devices or software.

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.

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

NumPad videos

+ Add

Glorious Numpad Review | Is The Most Expensive Numpad Good Value?

More videos:

  • Review - Why would you buy JUST a numpad?
  • Review - Buy this numpad!!

Category Popularity

0-100% (relative to Plotly and NumPad)

Plotly

NumPad

Data Visualization
100 100%
Data Visualization
0% 0
Productivity
0 0%
Productivity
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Calculators
0 0%
Calculators
100% 100

User comments

Share your experience with using Plotly and NumPad. 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 NumPad

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

NumPad Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than NumPad. 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.

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

NumPad mentions (6)

  • Ask HN: What Are You Working On? (June 2025)
    Numpad: https://numpad.io/ It's a web-based notepad calculator, which means it's a notes app but it can evaluate inline calculations like ```. - Source: Hacker News / about 1 year ago
  • Ask HN: What are you working on? (April 2025)
    I launched my web-based notepad calculator, https://numpad.io/, a few years ago. Right now I'm working on a version 2 that has user accounts, multiple documents, markdown support, and document exports. Everything is local-first and it uses CRDTs to sync documents. It looks like this: https://i.imgur.com/Plk1DQ4.png the calculator is mostly the same for now, with a few improvements. It's unstable right now, so I... - Source: Hacker News / over 1 year ago
  • Show HN: Heynote โ€“ A Dedicated Scratchpad for Developers
    This is awesome! I currently use numpad[0] for this, but would much prefer a local app. I would love to switch but the only thing holding me back is lack of Vim support. Are there any plans to add Vim keymap in the future? 0: https://numpad.io/. - Source: Hacker News / over 2 years ago
  • Show HN: Heynote โ€“ A Dedicated Scratchpad for Developers
    This looks fantastic. I will definitely give it a spin. I've been tracking what I call "computational scratchpad" apps for a while now but haven't found one that fits my environment/workflow yet. Maybe Heynote will. Here are some others that I've looked at: * https://soulver.app Granddad of them all, Mac-only, proprietary, expensive * https://numi.app Mac-only, proprietary, semi-expensive. Has a Github and claims... - Source: Hacker News / over 2 years ago
  • Ask HN: What side projects landed you a job?
    My side project NumPad https://numpad.io got me my current job at Decipad https://www.decipad.com/ (the similar naming scheme is a coincidence!). I came across Decipad while looking for a job, and messaged the founder, highlighting my work on NumPad. They were impressed enough that the hiring process ended up being just a few interviews, I've been there for almost a year now, and it's been pretty good! If there's... - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

When comparing Plotly and NumPad, 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.

Soulver - Soulver is a software application that functions as a calculator that allows you type a continuous stream of information rather than having to input data into multiple cells.

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

Numbr - An elegant calculator for the web

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.

Numi App - Numi is a beautiful text calculator for Mac.

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