Software Alternatives, Accelerators & Startups
Register | Login

Matplotlib VS Unroll.me

Compare Matplotlib VS Unroll.me and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Unroll.me logo Unroll.me

A cleaner inbox is just a click away! Unroll.Me gives you the tools you need to manage a cluttered mailbox full of pesky subscriptions emails.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Unroll.me Landing page
    Landing page //
    2023-03-22

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.

Unroll.me features and specs

  • Simplified Email Management
    Unroll.me helps users declutter their inbox by allowing them to organize subscription emails into a single daily digest, making it easier to manage and review newsletters and other subscriptions.
  • Unsubscribe Easily
    The service offers a simple way to unsubscribe from unwanted email lists with just a few clicks, improving inbox hygiene without manual effort.
  • User-Friendly Interface
    Unroll.me features an intuitive and easy-to-use interface that simplifies the process of subscription management, making it accessible to users of all tech skill levels.
  • Free to Use
    Unroll.me is a free service, providing subscription management tools without requiring a paid subscription.

Possible disadvantages of Unroll.me

  • Privacy Concerns
    Unroll.me has faced criticism for its data-harvesting practices, as it collects and analyzes user email data, which it has previously sold to third parties such as marketers.
  • Limited Email Support
    The service may not support all email clients, restricting its use to those supported, which can be an inconvenience for some users.
  • Potential Email Disruptions
    Since Unroll.me modifies how emails are delivered, there is a risk of important emails being missed or delayed if they are incorrectly categorized or processed.
  • Not Always Accurate
    The automatic categorization of emails into the daily digest may not always be accurate, leading to useful emails being grouped with less important ones.

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.

Analysis of Unroll.me

Overall verdict

  • Unroll.me can be a useful tool for those looking to clean up their inbox and reduce email overload. However, concerns have been raised about its privacy practices, as the service has historically collected and sold user data to third parties. Users should weigh the convenience against potential privacy implications before using the service.

Why this product is good

  • Unroll.me is popular for its ability to help users manage and declutter their email inboxes by unsubscribing from unwanted emails and consolidating selected ones into a 'Rollup'. It offers a straightforward interface that's easy to use, making it appealing for users who receive a large volume of subscription emails and want to organize them efficiently.

Recommended for

    People who are overwhelmed with subscription emails and want an easier way to organize them without manually unsubscribing. It's also suitable for those who prioritize convenience and are less concerned about sharing data with third parties.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Unroll.me videos

+ Add

How to use Unroll.me + a word of caution before using it

More videos:

  • Review - No, What Unroll.Me Did To Its Users Is NOT Normal
  • Review - Mass Unsubscribe From Newsletters with Unroll.me (Free!)
  • Tutorial - Unroll.Me iPhone App: How To Manage Your Inbox
  • Review - Welcome to Unroll.Me

Category Popularity

0-100% (relative to Matplotlib and Unroll.me)

Matplotlib

Unroll.me

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Email Management
0 0%
Email Management
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Email Automation
0 0%
Email Automation
100% 100

User comments

Share your experience with using Matplotlib and Unroll.me. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Matplotlib and Unroll.me

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

Unroll.me Reviews

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

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Unroll.me. 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.

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
View more

Unroll.me mentions (62)

  • What small things did you do to prepare....
    Thought I would drop this here for those looking to unsubscribe. Doesn't work 100% but has helped me clean a lot out. https://unroll.me/. Source: about 3 years ago
  • I don't think the world is ready for Code Interpreter.
    Hey. I hope you get access to it soon. I'm developing a plugin similar to unroll.me - it will help you to unsubscribe from those unwanted pesky emails automatically. To be honest, I'm developing this for myself, I'm not sure if I would even release it publicly since most people are not comfortable sharing email access with 3rd parties (and rightfully so). Source: about 3 years ago
  • I keep getting brute force emails from tons of websites, what do I do?
    Most of these are just newsletters and typical spam. They have your email to send you this stuff from when you made your old accounts. You can unsubscribe from each service manually (usually a small "unsubscribe" link at the bottom of each email). Or try this tool to unsubscribe from most of them quickly. Source: about 3 years ago
  • Drowning in the overwhelm of ignored (80k email) notifications.. say less ๐Ÿงพ๐Ÿšฎ
    Another vote for unroll.me. Only way I'm able to handle my email. Source: about 3 years ago
  • LPTrequest: is there a site or app one which you can see every company/site the has your e-mail
    Have you ever used https://unroll.me/ ? Source: over 3 years ago
View more

What are some alternatives?

When comparing Matplotlib and Unroll.me, you can also consider the following products

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

Clean Email - Clean Email is an online service that empowers you to take control of your mailbox.

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

Sanebox - SaneBox is a cloud-based service that allows users to filter and manage their emails.

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

Leave Me Alone - Easily unsubscribe from unwanted emails ๐Ÿ’Œ

Loading...