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Email This VS Plotly

Compare Email This VS Plotly and see what are their differences

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

Email This logo Email This

Save ad-free articles and web pages and articles to your email inbox for reading later.

Plotly logo Plotly

Low-Code Data Apps
  • Email This Landing page
    Landing page //
    2021-10-19

Found a great article but donโ€™t have time to read it now? Save the complete web page to your email and read it later.

Email This removes ads, distractions and crufty sidebars from a web page and sends a cleaned-up, readable view of the page to your email inbox. You can then open up your email inbox and read your saved articles whenever you want.

Email This is a simpler alternative to bookmarking and "read later" tools like Pocket, Instapaper, and Pinboard. There is no need to signup for a new service or install any additional applications to read your saved bookmarks. You can even access your saved bookmarks offline on your mobile phones and tablets.

Benefits & features

  • Save any web page or article with one-click
  • Save the current page with a keyboard shortcut
  • Browser extensions available for all browsers and devices - Chrome, Firefox, Edge, Opera, Safari.
  • Also works from iOS and Android
  • [NEW] Add notes and keywords to your saved pages. This helps you search for your content faster.
  • [NEW] Include PDF snapshot of all web pages
  • [NEW] PDF files, images, DOCX, PPTs and Excel sheets will be automatically downloaded and sent as email attachments.
  • Right-click and save links without opening them.
  • Completely free to use.
  • Plotly Landing page
    Landing page //
    2023-07-31

Email This features and specs

  • Easy to Set-up and use
    Browser extensions available for all major browsers
  • One Click Save
    Save any web page with a single click
  • Works everywhere
    You control the content you save. No lock-ins

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 Email This

Overall verdict

  • Email This is a reliable and effective tool for users who want to focus on content without interruptions from ads or unnecessary elements. It can be particularly useful for those who prefer reading content offline or need to access their saved articles across multiple devices.

Why this product is good

  • Email This is considered good because it provides a simple and efficient way to save web pages for later reading, minus the ads and distractions. It allows users to save content to their email with a single click, making it accessible across all devices and platforms.

Recommended for

  • Users who prefer email as a primary organizational tool
  • Individuals seeking a distraction-free reading experience
  • Professionals and students who need to save articles for research or later reference
  • Users who want a cross-platform solution for saving and reading web content

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.

Email This videos

+ Add

Getting started with EmailThis

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 Email This and Plotly)

Email This

Plotly

Bookmark Manager
100 100%
Bookmark Manager
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Bookmarks
100 100%
Bookmarks
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Email This and Plotly. 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 Email This and Plotly

Email This Reviews

  1. Guest
    Nifty little app

    EmailThis is a great app that replaces Pocket and Instapaper.

    ๐Ÿ Competitors: Pocket, Instapaper, Reader Mode
11 Pocket Alternatives You Must Try Out!
EmailThis.me, unlike other apps and sites, helps you save stuff by simply sending you an email. So now you can actually read it later by going to your inbox anytime!
Source: blog.elink.io

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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

Email This mentions (0)

We have not tracked any mentions of Email This yet. Tracking of Email This recommendations started around Mar 2021.

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
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What are some alternatives?

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

Instapaper - Instapaper is a simple tool to save web pages for reading later.

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.

wallabag - Save the web, freely.

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

Raindrop.io - All your articles, photos, video & content from web & apps in one place.

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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