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Matplotlib VS Email This

Compare Matplotlib VS Email This and see what are their differences

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Email This

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

Rating
5.0 · 1 review
Alternatives Is it good?
Tempreon
A personal memory layer for your AI tools, connected over MCP. sponsored
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Which is more popular?

Based on our record, Matplotlib seems to be more popular. It has been mentioned 114 times since March 2021.

social mentions
114 vs 0
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
239 vs 221

Base details

Website, pricing, platforms and company facts side by side.

Matplotlib
Email This
Website matplotlib.org emailthis.me
Pricing
Open source
Official pricing
Platforms —
Browser Android iOS Web Google Chrome Firefox Edge +4
Listed in
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1
Bookmark Manager Bookmarks Note Taking Productivity Chrome Extensions Reading HTML To PDF +4

About Matplotlib and Email This

In their own words, as submitted to SaaSHub.

Matplotlib
Email This

No description of Matplotlib yet.

Found a great article but don’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...

Read more about Email This

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Email This 3 features
  • 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

  • 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.
  • 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

Analysis

An editorial look at what each product does well and who it suits.

Matplotlib
Email This

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.

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

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Email This 1 video + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Getting started with EmailThis

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Matplotlib
Email This
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Bookmark Manager
100% 100%
100% 100%
Technical Computing
0% 0%
0% 0%
Bookmarks
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Matplotlib no reviews yet
Email This 5.0 · 1 review

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Matplotlib 114 mentions
Email This 0 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 10 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 / 11 months ago

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Tracking Email This since Mar 2021.

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