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Email This VS Matplotlib

Compare Email This VS Matplotlib 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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • 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.
  • Matplotlib Landing page
    Landing page //
    2023-06-14

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

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

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 Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Email This videos

+ Add

Getting started with EmailThis

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Email This and Matplotlib)

Email This

Matplotlib

Bookmark Manager
100 100%
Bookmark Manager
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Bookmarks
100 100%
Bookmarks
0% 0
Technical Computing
0 0%
Technical Computing
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 Email This and Matplotlib

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

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
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What are some alternatives?

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

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

wallabag - Save the web, freely.

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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