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Atril VS Python

Compare Atril VS Python and see what are their differences

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Atril logo Atril

Atril is a simple multi-page document viewer. Atril is a fork of Evince.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Atril Landing page
    Landing page //
    2021-09-22
  • Python Landing page
    Landing page //
    2021-10-17

Atril features and specs

  • Lightweight
    Atril is designed to be a lightweight document viewer, making it fast and efficient with system resources. This is particularly beneficial for older or less powerful computers.
  • MATE Integration
    As part of the MATE desktop environment, Atril is well-integrated and maintains a consistent look and feel with other MATE applications, providing a seamless user experience.
  • Multiple Format Support
    Atril supports a variety of document formats, including PDF, PostScript, DjVu, DVI, and XPS, making it a versatile tool for viewing different kinds of documents.
  • Open Source
    Atril is open-source software, allowing users to freely inspect, modify, and distribute the software. This fosters transparency and community contributions.

Possible disadvantages of Atril

  • Limited Features
    Compared to some other document viewers, Atril may have fewer advanced features, such as extensive annotation tools or advanced search capabilities.
  • MATE Dependency
    While Atril can be used outside the MATE desktop environment, it is specifically designed for MATE, meaning it may not integrate as well with other desktop environments.
  • Occasional Lag with Large Files
    Users may experience some performance lag when opening very large documents, which can affect usability.
  • Development Pace
    Being part of a community-driven project, Atril's development and updates can be slower compared to commercial software with dedicated development teams.

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.

Analysis of Atril

Overall verdict

  • Atril is considered a good option for users looking for a straightforward, reliable document viewer integrated with the MATE desktop environment. It offers essential features required for everyday document viewing tasks and is consistently maintained as part of the MATE project.

Why this product is good

  • Atril, a document viewer that is part of the MATE desktop environment, is appreciated for its simplicity and efficiency. It supports a wide range of document formats including PDF, PostScript, DJVU, and many others. Atril is lightweight, making it an excellent choice for users who prefer minimal resource consumption without sacrificing functionality.

Recommended for

    Atril is recommended for users who utilize the MATE desktop environment or those who need a fast and efficient document viewer that does not hog system resources. It's especially suitable for Linux users who appreciate the traditional desktop experience provided by MATE.

Atril videos

Me comprรฉ un atril! - PDP CS800 #Review

More videos:

  • Review - REVIEW / Atril de platillo HC33BW con boom Tama
  • Review - Review: Wostoo Teclado Electrรณnico Piano 61 Teclas con Atril y Microfono

Python videos

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

Category Popularity

0-100% (relative to Atril and Python)
PDF Editor
100 100%
0% 0
Programming Language
0 0%
100% 100
Office & Productivity
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 Atril and Python

Atril 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 Atril. While we know about 299 links to Python, we've tracked only 23 mentions of Atril. 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.

Atril mentions (23)

  • KDE celebrates the 29th birthday and kicks off the yearly fundraiser
    MATE was forked around the time GNOME 3 was released and is still going. https://mate-desktop.org Some people consider Cinnamon to be a GNOME 2 spiritual successor while still using a lot of GNOME 3 stuff under the hood. https://projects.linuxmint.com/cinnamon/. - Source: Hacker News / 9 months ago
  • SerenityOS is a love letter to '90s user interfaces
    The closest I know of is Blue95. I have only run the live environment but it worked pretty well and was impressive. "Blue95 is a modern and lightweight desktop experience that is reminiscent of a bygone era of computing. Based on Fedora Atomic Xfce with the Chicago95 theme." https://github.com/winblues/blue95 And if you like Gnome 2.x, there's MATE: https://mate-desktop.org/. - Source: Hacker News / about 1 year ago
  • Systemd Rolling Out "run0" As sudo Alternative
    I don't know if you are DE shopping, but I've been very happy for the past few years with the MATE Desktop Environment, which "...is the continuation of GNOME 2. It provides an intuitive and attractive desktop environment using traditional metaphors for Linux and other Unix-like operating systems." https://mate-desktop.org/ Among a great number of things I really like, I will mention that Caja, the MATE version of... - Source: Hacker News / about 2 years ago
  • Lobotomizing Gnome
    I agree that there is a balance between customization and "cleanness" in design and implementation. However, I think the GNOME 3 and 4 designers went too far and alienated many users: https://www.zdnet.com/article/linus-torvalds-finds-gnome-3-4-to-be-a-total-user-experience-design-failure/ https://medium.com/@fulalas/gnome-42-the-nonsense-continues-7d96c3287f7... - Source: Hacker News / about 3 years ago
  • I Still Use Windows 95 (archived, 2008)
    > Is there a WM out there that can do the basic quality-of-life functions of today's DEs? I'd love a simple, opinionated WM that takes the features we know are useful today (workspaces, expo mode, sensible file manager layouts, system trays) and gives them a color-adjustable window theme inspired by 90's aesthetics, with minimal compositing that can run fast on hardware as minimal as a prototype RISC-V board. Or... - Source: Hacker News / about 3 years ago
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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 / 3 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 Atril and Python, you can also consider the following products

Evince - Evince is a document viewer for multiple document formats: PDF, Postscript, djvu, tiff, dvi, XPS...

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

PDF Reader Pro - PDF Reader Pro is an all-in-one PDF office supporting to Read, Annotate, Edit, OCR, Convert, Create & Fill Form, Sign PDFs, TTS on Mac, iOS, Android, and Windows.

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

ApowerPDF - ApowerPDF is a versatile PDF editor which also features as PDF converter, viewer, creator and more. It provides a perfect solution for all users.

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