Software Alternatives, Accelerators & Startups
Register | Login

Matplotlib VS Engrampa

Compare Matplotlib VS Engrampa 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...

Engrampa logo Engrampa

A file archiver for MATE, based on File Roller from GNOME 2 http://www.mate-desktop.org/
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Engrampa Landing page
    Landing page //
    2023-09-21

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.

Engrampa features and specs

  • Integration with MATE Desktop
    Engrampa is a default archiver for the MATE Desktop Environment, offering seamless integration and a consistent user experience within the MATE interface.
  • Support for Multiple Formats
    Engrampa supports a wide range of archive formats like zip, tar, gzip, bzip2, and more, making it versatile for various compression needs.
  • User-Friendly Interface
    Its graphical user interface is straightforward and easy to use, catering to users who prefer GUI-based tools over command-line operations.
  • Free and Open Source
    Engrampa is open-source software, allowing users to contribute to its development, customize it, and use it freely without licensing costs.
  • Lightweight
    Designed to be lightweight, Engrampa is efficient in terms of system resource usage, making it suitable for older machines or those with limited resources.

Possible disadvantages of Engrampa

  • Limited Advanced Features
    Compared to some other archiving tools, Engrampa might lack advanced features needed by power users, such as multi-volume archiving or automation scripts.
  • Primarily for MATE Users
    While it can be used outside of MATE, Engrampa is largely tailored to users of the MATE Desktop Environment, which might limit its appeal to users of other desktop environments.
  • Potential for Fewer Updates
    As a community-driven project, the frequency and scope of updates and enhancements might not be as robust as those provided by commercial software.
  • Relatively Niche User Base
    Since it's part of the MATE ecosystem, Engrampa might have a smaller user base compared to more ubiquitous archiving tools, potentially resulting in less community support.

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.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Engrampa videos

+ Add

The return of engrampa Thunar (Arch Linux)

Category Popularity

0-100% (relative to Matplotlib and Engrampa)

Matplotlib

Engrampa

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Archive Manager
0 0%
Archive Manager
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Archiver
0 0%
Archiver
100% 100

User comments

Share your experience with using Matplotlib and Engrampa. 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 Engrampa

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

Engrampa Reviews

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

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Engrampa. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Engrampa. 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

Engrampa mentions (2)

  • TIL there's a fork of the unmaintained p7zip port of 7-Zip
    The p7zip port of 7-Zip is several releases behind and the project seems to be abandoned. I discovered this when a large archive failed to extract with Engrampa which uses it. It reported a "Headers Error" which is due to a compatibility problem between zip format implementations. 7-Zip has a fix but the port doesn't. But there's a fork on GitHub which is being actively maintained. Check it out. Source: over 4 years ago
  • What compression tool you mainly use?
    I use Engrampa. Which archive format I use depends on the use case. For example, if Windows users are involved, I usually use Rar archives. Under Linux, I usually use tar.xz. Source: over 5 years ago

What are some alternatives?

When comparing Matplotlib and Engrampa, 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.

The Unarchiver - Get the top application for archives on Mac. It's a RAR extractor, it allows you to unzip files, and works with dozens of other formats.

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

Explzh for Windows - Powerful explorer-like archive software for Windows.

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

ArKiwi - A lightweight and very fast file archiver, where you can add, compress, extract, delete, password protect, and blazing fast search all your files.

Loading...