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ncdu VS socketify.py

Compare ncdu VS socketify.py and see what are their differences

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

ncdu logo ncdu

A disk usage analyzer with an ncurses interface, aimed to be run on a remote server where you...

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • ncdu Landing page
    Landing page //
    2023-05-10
  • socketify.py Landing page
    Landing page //
    2023-09-24

ncdu features and specs

  • User-friendly Interface
    Ncdu provides a text-based user interface which is easy to navigate and offers clear, color-coded disk usage visualization.
  • Speed
    Ncdu is designed to be fast and efficient, able to quickly scan and index disk usage information even on large file systems.
  • Low Resource Consumption
    The application consumes minimal system resources, making it suitable for use on systems with limited resources.
  • Interactive
    Ncdu allows users to interactively browse through directories, delete files, and drill down to see detailed disk usage statistics.
  • Portability
    Ncdu is available for multiple platforms, including Linux, BSD, macOS, and Windows, making it versatile across different environments.
  • Open Source
    Being an open-source tool, users can freely inspect the code, suggest features, and contribute to the project.
  • Remote System Compatibility
    Ncdu can be used over SSH, which makes it convenient for managing disk usage on remote servers.

Possible disadvantages of ncdu

  • Limited Advanced Features
    Ncdu primarily focuses on disk usage analysis and lacks some advanced features found in other tools such as detailed file metadata or advanced filtering options.
  • Text-based Interface Limitation
    While the text-based interface is quick and efficient, it may not be as intuitive or visually appealing as GUI-based disk usage analyzers for some users.
  • No Built-in Reporting
    Ncdu does not offer built-in functionality for generating comprehensive reports. Users have to manually compile data if detailed reports are needed.
  • Potential Learning Curve
    Beginners or users unfamiliar with command-line tools may find it challenging to get started and utilize all of ncdu's features effectively.
  • Lack of Detailed Visualization
    While ncdu offers a visual representation of disk usage, it doesn't provide more advanced visualizations like pie charts or graphs.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of ncdu

Overall verdict

  • Yes, ncdu is considered a good tool for disk usage analysis due to its efficiency, speed, and ease of use. It is well-suited for users who want a lightweight and straightforward solution without the need for graphical interfaces.

Why this product is good

  • ncdu (NCurses Disk Usage) is a disk usage analyzer with an ncurses interface. It is designed to provide a fast and easy way to view and manage disk space usage on your system. With its simple text-based interface, you can quickly navigate directories and identify which files or directories are consuming the most space. This tool is particularly useful for system administrators and users who prefer working in a terminal environment.

Recommended for

  • System administrators who need to quickly identify disk space usage issues.
  • Users who prefer command-line tools over graphical user interfaces.
  • Anyone managing servers or computers remotely through SSH.
  • Those looking for a lightweight and efficient way to manage disk space on Unix-like systems.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

ncdu videos

+ Add

ncdu - NCurses Disk Usage Utility - Linux TUI

More videos:

  • Review - Lubuntu Screencast: Showing size of folders with du and ncdu
  • Review - Terminal File Manager - Amazing file manager in Terminal NCDU

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to ncdu and socketify.py)

ncdu

socketify.py

Disk Analyzer
100 100%
Disk Analyzer
0% 0
Python
0 0%
Python
100% 100
Hard Disk Usage
100 100%
Hard Disk Usage
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

Share your experience with using ncdu and socketify.py. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, ncdu seems to be a lot more popular than socketify.py. While we know about 24 links to ncdu, we've tracked only 2 mentions of socketify.py. 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.

ncdu mentions (24)

  • Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
    Something like https://dev.yorhel.nl/ncdu with ("brew install ncdu") is great if you are okay with the command line. It's very annoying to drill down in the Finder especially if it's hidden directories. - Source: Hacker News / 5 months ago
  • How to clean your virtual server (VPS)
    For an even more detailed analysis, take a look at tools such as ncdu, a disk usage viewer in terminal mode. - Source: dev.to / over 1 year ago
  • Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
    These certainly aren't forgotten, but I like: * `ranger` file manager: https://ranger.github.io/ * `ncdu` for visualising disk usage: https://dev.yorhel.nl/ncdu * `htop` process monitor: https://htop.dev/ I just find them very intuitive, and information-dense while not being overwhelming. - Source: Hacker News / over 2 years ago
  • Whatโ€™s using my drive space?
    There are also more user-friendly and interactive tools to do this. I use and like ncdu, but there are others, such as duc. Source: about 3 years ago
  • The Most Useful Command Line Tools (2023 edition)
    In the same way of Dust, there is also NCDU which is an NCruses-based du interface, i.e. interactive. Source: over 3 years ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing ncdu and socketify.py, you can also consider the following products

Baobab Disk Usage Analyzer - Baobab Disk Usage Analyzer is one of the light-weight disk analyzers that offers you a chance to view and monitor the disk usage & folder structure without any hassle.

DiskUsage - DiskUsage provides a way to find out which files and directories on the SD card of your Android...

WinDirStat - WinDirStat is a disk usage statistics viewer and cleanup tool, inspired by KDirStat.

Filelight - Filelight is an application to visualize the disk usage on your computer.

Gdu - Gdu is one of the smart open-source disk analyzers specially designed for Linux that provides you complete information related to the disk space.

WizTree - WizTree quickly finds the files and folders using the most space on your hard drive. It scans the MFT (Master File Table) instead of crawling the entire disk which makes it very fast.

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