Software Alternatives, Accelerators & Startups
Register | Login

Double Commander VS NumPy

Compare Double Commander VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. 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. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Double Commander logo Double Commander

Double Commander is a cross-platform open source file manager with two panels side by side.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Double Commander Landing page
    Landing page //
    2023-09-26
  • NumPy Landing page
    Landing page //
    2023-05-13

Double Commander features and specs

  • Cross-Platform
    Double Commander is available for multiple operating systems including Windows, Linux, and macOS. This makes it a versatile choice for users operating across different platforms.
  • Free and Open Source
    Double Commander is free to download and its source code is open to the public. Users can modify and redistribute it under the GPL license, making it a cost-effective and customizable option.
  • Two-Panel Interface
    The application features a two-panel interface, which allows users to view and manage files in two distinct directories simultaneously. This enhances productivity and streamlines file operations.
  • Plugin Support
    Double Commander supports Total Commander WCX, WDX, and WLX plugins, providing additional functionalities such as extended file operations and viewing capabilities.
  • FTP/SFTP Support
    It includes built-in support for FTP and SFTP protocols, allowing users to easily manage files on remote servers.
  • Customizable User Interface
    Users can customize the layout, colors, and various other aspects of the interface to suit their individual preferences.
  • Advanced Search Function
    Double Commander offers an advanced search feature with various filters, allowing users to find files quickly and efficiently.

Possible disadvantages of Double Commander

  • Steeper Learning Curve
    The two-panel interface and multitude of features may be overwhelming for new users, leading to a steeper learning curve.
  • Occasional Bugs and Instability
    As an open-source project, Double Commander may occasionally suffer from bugs and stability issues, though these are often addressed by the community.
  • Less Polished UI
    The user interface, while customizable, may not be as polished or modern-looking as some commercial file managers.
  • Limited Integration
    Compared to some commercial options, Double Commander may offer limited integration with other applications and services out of the box.

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.

Analysis of Double Commander

Overall verdict

  • Overall, Double Commander is a well-regarded file manager that can significantly improve file organization and management tasks, especially for users who prefer a Total Commander-like experience on Linux, Windows, or macOS.

Why this product is good

  • Double Commander is considered good due to its open-source nature, cross-platform support, and feature-rich environment. It offers a dual-pane interface, which enhances productivity by allowing users to easily manage files across different directories. Features such as tabbed browsing, an advanced search function, and the built-in file viewer/editor support diverse file formats, making it a versatile tool. Many users appreciate its customization options and support for WCX, WDX, and WLX plug-ins.

Recommended for

  • Users looking for a free, open-source alternative to Total Commander.
  • Those who frequently work with multiple files and directories and require efficient file management.
  • Users who prefer cross-platform tools that offer consistency across operating systems.
  • Individuals who appreciate customization and support for plug-ins to extend functionality.

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.

Double Commander videos

+ Add

Check Out Double Commander File Manager In Ubuntu 16.04

More videos:

  • Review - Context menu suggestion for Double Commander

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

Category Popularity

0-100% (relative to Double Commander and NumPy)

Double Commander

NumPy

File Manager
100 100%
File Manager
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
FTP Client
100 100%
FTP Client
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Double Commander and NumPy. 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 Double Commander and NumPy

Double Commander Reviews

3 Popular Total Commander Analogs for Linux
Double Commander is one of the most popular file managers for Linux. It is open source and available for other operating systems. It is capable of viewing files in binary, hexadecimal and text formats. The developers have provided a text editor with syntax highlighting. The application works with archives and supports batch renaming.
Source: medium.com
The best file managers for your computer
This is a completely free code file manager, endowed with numerous functions that make it one of the preferred by users from all over the world. Double commander is unashamedly inspired by Total Commander.
Source: movilforum.com
8 Best Total Commander Alternatives & Competitors in 2022 (Free & Paid)
Double commander is a free cross platform open source file manager with two panels side by side. It is inspired by total commander.
Source: www.softwarediscover.com

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

Social recommendations and mentions

Based on our record, NumPy should be more popular than Double Commander. It has been mentiond 119 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.

Double Commander mentions (22)

  • File Pilot: A file explorer built for speed with a modern, robust interface
    3. The rich infrastructure of viewers, add-ons that has been added by the community over decades and is supported by the open source alternative implementation https://doublecmd.sourceforge.io/ Any roadmap that has some of this on the list? Thanks for the cool work! - Source: Hacker News / 4 months ago
  • OpenBSD Desktop
    Take a look at double commander: https://doublecmd.sourceforge.io/ However, if you use a desktop manager such as Xfce, the file manager (Thunar in this case) is built in and can be configured with traditional double window arrangement. - Source: Hacker News / about 1 year ago
  • The case of the jump into the middle of an instruction from nowhere (2023)
    Well yeah, I mean no one forces you to use Explorer for file management under Windows. I'm an old-time Norton Commander user, and when Windows came around I switched to Total Commander. There are open-source alternatives too, even cross-platform ones, like this one: https://doublecmd.sourceforge.io/. That being said, no one forces you to use Windows either - except maybe your employer or the software... - Source: Hacker News / over 1 year ago
  • Creating a 'Proper Nouns' List
    Double Commander. Search Replace Multiple files. Source: over 1 year ago
  • Total Commander
    I've been looking for a Linux alternative ever since I mostly switched away from Windows a few years ago, and so far this one is the best FOSS alternative I found: https://doublecmd.sourceforge.io/ - it's even written in Pascal, same as TC. - Source: Hacker News / almost 2 years ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Double Commander and NumPy, you can also consider the following products

Total Commander - A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.

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

Midnight Commander - GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...

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

FreeCommander - FreeCommander is an easy-to-use alternative to the standard windows file manager. The program helps you with daily work in Windows. Here you can find all the necessary functions to manage your data stock.

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

Loading...