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NumPy VS Atril

Compare NumPy VS Atril and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Atril logo Atril

Atril is a simple multi-page document viewer. Atril is a fork of Evince.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Atril Landing page
    Landing page //
    2021-09-22

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

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.

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Atril videos

+ Add

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

Category Popularity

0-100% (relative to NumPy and Atril)

NumPy

Atril

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
PDF Editor
0 0%
PDF Editor
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Office & Productivity
0 0%
Office & Productivity
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 NumPy and Atril

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Atril Reviews

We have no reviews of Atril yet.
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Social recommendations and mentions

Based on our record, NumPy should be more popular than Atril. It has been mentiond 122 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.

NumPy mentions (122)

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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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What are some alternatives?

When comparing NumPy and Atril, 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.

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

OpenCV - OpenCV is the world's biggest computer vision library

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.

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