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Pandas VS Midnight Commander

Compare Pandas VS Midnight Commander and see what are their differences

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

Pandas logo Pandas

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

Midnight Commander logo Midnight Commander

GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Midnight Commander Landing page
    Landing page //
    2018-09-29

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Midnight Commander features and specs

  • User-Friendly Interface
    Midnight Commander provides a text-based user interface that is relatively easy to navigate, unlike traditional command-line interfaces, which can be intimidating for new users.
  • Two-pane File Manager
    The dual-pane layout allows users to perform file operations such as moving and copying files between two locations effortlessly.
  • Built-in Editor
    Midnight Commander includes a built-in text editor (mcedit) that can be handy for quickly editing configuration files or scripts.
  • Connectivity Options
    It supports various network protocols like FTP, SFTP, and Samba, enabling users to manage files on remote systems as easily as on local drives.
  • Customizability
    Users can customize key bindings, color schemes, and panels to better suit their needs and workflow preferences.
  • Cross-Platform
    Midnight Commander is available on multiple operating systems, including Linux, macOS, and Windows, offering a consistent experience across platforms.
  • Search Capabilities
    Advanced search options make it easy to find files and text within files, which is useful for a variety of tasks, from coding to administration.

Possible disadvantages of Midnight Commander

  • Limited GUI Features
    Being a text-based application, it lacks some of the graphical features and mouse interactions available in graphical file managers.
  • Learning Curve
    While more user-friendly than the command line, it still requires some time to learn and get accustomed to the various key bindings and functionalities.
  • Dependency on Terminal
    As a terminal-based application, it requires a terminal emulator, which might not be as efficient or convenient as using a native graphical application for some users.
  • Limited Advanced Features
    For complex file management tasks, it may not offer the advanced features or plugins available in more robust file managers.
  • No Built-in Preview
    Unlike some graphical file managers, it doesn't provide a built-in preview of files (like images or PDFs), which can be a drawback for certain use cases.
  • Dependency on Configuration Files
    Customization often necessitates editing configuration files manually, which could be a deterrent for users who are not comfortable with text-based configurations.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Analysis of Midnight Commander

Overall verdict

  • Yes, Midnight Commander is considered a good tool by many users, especially those who frequently work in command-line environments. Its efficiency and robustness make it a favorite among system administrators and developers.

Why this product is good

  • Midnight Commander is a popular and powerful file manager for Unix-like systems. It features a text user interface, making it suitable for command-line environments. It provides all essential file management functionalities, including copying, moving, renaming, and even supports accessing and browsing through FTP or SSH, making it versatile for various tasks.

Recommended for

    Midnight Commander is highly recommended for users who are comfortable working in command-line environments. It is particularly suitable for system administrators, developers, and power users who need a reliable and efficient file management tool with advanced features like remote file system browsing.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Midnight Commander videos

+ Add

EzeeLinux Show 18.15 | GNU Midnight Commander

More videos:

  • Review - 16 - Midnight Commander, Part 1 of 3
  • Review - Midnight Commander || Installation and short review || Ubuntu || Fedora

Category Popularity

0-100% (relative to Pandas and Midnight Commander)

Pandas

Midnight Commander

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
File Manager
0 0%
File Manager
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
FTP Client
0 0%
FTP Client
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 Pandas and Midnight Commander

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Midnight Commander Reviews

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

Social recommendations and mentions

Based on our record, Pandas should be more popular than Midnight Commander. It has been mentiond 219 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.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
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Midnight Commander mentions (28)

  • Emacs 2024 Changes
    Dired as a cross-platform file manager. I used to use Midnight Commander but I found it buggy in the end (on MacOS). Since investing time in learning dired it's good enough. - Source: dev.to / 6 months ago
  • OpenBSD Desktop
    Midnight Commander is a good TUI file manager. https://midnight-commander.org/. - Source: Hacker News / about 1 year ago
  • Antonmedv/walk: Terminal file manager
    Was there something before https://midnight-commander.org/ or was that the OG? - Source: Hacker News / almost 2 years ago
  • How to move a directory to ../ if there is a directory with same name?
    Just use mc (midnight commander) it not only is a terminal based file manager but it will give you the command lines used to do so GNU MIDNIGHT COMMANDER. Source: about 2 years ago
  • What's that email client doing here?
    Given that you can run shells in Emacs since those are text too, Emacs ends up becoming almost like a Lisp-powered tmux or mc. Source: about 2 years ago
View more

What are some alternatives?

When comparing Pandas and Midnight Commander, you can also consider the following products

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

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

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

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

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

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.

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