Software Alternatives, Accelerators & Startups

Engrampa VS Python

Compare Engrampa VS Python and see what are their differences

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Engrampa logo Engrampa

A file archiver for MATE, based on File Roller from GNOME 2 http://www.mate-desktop.org/

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Engrampa Landing page
    Landing page //
    2023-09-21
  • Python Landing page
    Landing page //
    2021-10-17

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.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Engrampa videos

The return of engrampa Thunar (Arch Linux)

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Engrampa and Python)
Archive Manager
100 100%
0% 0
Programming Language
0 0%
100% 100
Archiver
100 100%
0% 0
OOP
0 0%
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 Engrampa and Python

Engrampa Reviews

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Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Engrampa. While we know about 299 links to Python, 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.

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

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing Engrampa and Python, you can also consider the following products

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.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation