In a world dominated by technology giants and proprietary ecosystems, a quiet powerhouse has steadily risen in influence: Linux. What started in 1991 as a hobby project by Linus Torvalds now fuels mission-critical infrastructure, powers millions of devices, and defines the backbone of modern computing. Linux is not just an...

The share of Linux in the desktop operating system market across India was about *****percent in the month of October 2025. This figure represents a significant increase in the market share of Linux since December 2024.

Linux Terminal Commands Dataset Overview The Linux Terminal Commands Dataset is a comprehensive collection of 600 unique Linux terminal commands (cmd-001 to cmd-600), curated for cybersecurity professionals, system administrators, data scientists, and machine learning engineers. This dataset is designed to support advanced use cases such as penetration testing, system administration, forensic analysis, and training machine learning models for command-line automation and anomaly detection. The commands span 10 categories: Navigation, File Management, Viewing, System Info, Permissions, Package Management, Networking, User Management, Process, and Editor. Each entry includes a command, its category, a description, an example output, and a reference to the relevant manual page, ensuring usability for both human users and automated systems. Key Features

Uniqueness: 600 distinct commands with no overlap, covering basic to unconventional tools. Sophistication: Includes advanced commands for SELinux, eBPF tracing, network forensics, and filesystem debugging. Unconventional Tools: Features obscure utilities like bpftrace, tcpflow, zstd, and aa-status for red teaming and system tinkering. ML-Ready: Structured in JSON Lines (.jsonl) format for easy parsing and integration into machine learning pipelines. Professional Focus: Tailored for cybersecurity (e.g., auditing, hardening), system administration (e.g., performance tuning), and data science (e.g., log analysis).

Dataset Structure The dataset is stored in a JSON Lines file (linux_terminal_commands_dataset.jsonl), where each line represents a single command with the following fields:

Field Description

id Unique identifier (e.g., cmd-001 to cmd-600).

command The Linux terminal command (e.g., setfacl -m u:user:rw file.txt).

category One of 10 categories (e.g., Permissions, Networking).

description A concise explanation of the command's purpose and functionality.

example_output Sample output or expected behavior (e.g., [No output if successful]).

man_reference URL to the official manual page (e.g., https://man7.org/linux/man-pages/...).

Category Distribution

Category Count

Navigation 11

File Management 56

Viewing 35

System Info 51

Permissions 28

Package Management 12

Networking 56

User Management 19

Process 42

Editor 10

Usage Prerequisites

Python 3.6+: For parsing and analyzing the dataset. Linux Environment: Most commands require a Linux system (e.g., Ubuntu, CentOS, Fedora) for execution. Optional Tools: Install tools like pandas for data analysis or jq for JSON processing.

Loading the Dataset ```python Use Python to load and explore the dataset: import json import pandas as pd

Load dataset

dataset = [] with open("linux_terminal_commands_dataset.jsonl", "r") as file: for line in file: dataset.append(json.loads(line))

Convert to DataFrame

df = pd.DataFrame(dataset)

Example: View category distribution

print(df.groupby("category").size())

Example: Filter Networking commands

networking_cmds = df[df["category"] == "Networking"] print(networking_cmds[["id", "command", "description"]]) ```

Example Applications

Cybersecurity: Use bpftrace or tcpdump commands for real-time system and network monitoring. Audit permissions with setfacl, chcon, or aa-status for system hardening.

System Administration: Monitor performance with slabtop, pidstat, or systemd-analyze. Manage filesystems with btrfs, xfs_repair, or cryptsetup.

Machine Learning: Train NLP models to predict command categories or generate command sequences. Use example outputs for anomaly detection in system logs.

Pentesting: Leverage nping, tcpflow, or ngrep for network reconnaissance. Explore find / -perm /u+s to identify potential privilege escalation vectors.

Executing Commands Warning: Some commands (e.g., mkfs.btrfs, fuser -k, cryptsetup) can modify or destroy data. Always test in a sandboxed environment. To execute a command:

Example: List SELinux file contexts

semanage fcontext -l

Installation

Clone the repository:git clone https://github.com/sunnythakur25/linux-terminal-commands-dataset.git cd linux-terminal-commands-dataset

Ensure the dataset file (linux_terminal_commands_dataset.jsonl) is in the project directory. Install dependencies for analysis (optional):pip install pandas

Contribution Guidelines We welcome contributions to expand the dataset or improve its documentation. To contribute:

Fork the Repository: Create a fork on GitHub. Add Commands: Ensure new commands are unique, unconventional, and include all required fields (id, command, category, etc.). Test Commands: Verify commands work on a Linux system and provide accurate example outputs. Submit a Pull Request: Include a clear description of your changes and their purpose. Follow Standards: Use JSON Lines format. Reference man7.org for manual pages. Categorize c...

Financial overview and grant giving statistics of Linux Kernel Organization

Introduction

Fedora Statistics: Fedora is a very popular operating system based on Linux, which is cutting-edge and has very good community support. However, at the end of December 2024, Fedora did not have much market penetration as far as web server deployment was concerned.

According to W3Techs, out of all the websites whose operating system is known, less than 0.1% use Fedora, while 55.2% of these websites are powered by Linux as a whole. This article will show the trends in Fedora statistics.

mrheinen/linux-commands dataset hosted on Hugging Face and contributed by the HF Datasets community

Financial overview and grant giving statistics of The Linux Foundation

Introduction

Ubuntu Statistics: Ubuntu has a great reputation as one of the most widely used Linux distributions due to its simplicity, reliability, and outstanding community support. Now, in 2024, this has never changed, as it is a choice for personal and professional use. It is versatile and able to run on everything from their desktop to cloud servers and devices on the IOT.

This article discusses the latest Ubuntu statistics, trends, and insights into what is happening in terms of its growth, usage, and market position in 2024.

Financial overview and grant giving statistics of Linux Fund Inc.

This statistic gives a forecast of worldwide Linux automotive infotainment OS sales from 2011 to 2020. The forecast shows that such sales will exceed ******* units by 2014. Many passenger cars are equipped with different operating systems for the various devices installed in modern motor vehicles, including navigation and driver-assistance systems, in-car smartphone holders and entertainment systems.

Dataset

This dataset was created by archit

Released under Data files © Original Authors

Contents

In 2024, over ** percent of developers worldwide reported using the Windows operating system for personal use, but only ** percent reported using the OS when working. MacOS, based on Unix, had the second-largest share at ** percent of developers using it for both personal and professional use, respectively. Linux dominates the rest of the market Among developers, Linux-based operating systems are highly favored for their flexibility and robust development environments, with Ubuntu ranking as the third most widely used distribution globally. Furthermore, other Linux distributions gained significant traction, such as Debian, Arch, Fedora, and Google’s ChromeOS among others. Android as the top mobile OS for developers When it came to mobile operating systems, Android had the highest percentage of developers using it both personally and professionally, while Apple's iOS and iPadOS held significantly lower shares. This trend extends beyond software development; Android's appeal is further highlighted by the fact that over one in 4 game developers globally report it as their preferred gaming platform, making it also one of the most popular platforms for game development worldwide.

Survey on Equipment and Use of Information and Communication Technologies in Households: Computer use, by demographic characteristics and knowledge of LINUX operating system. National.

suryanshp1/kali-linux-pentesting-data dataset hosted on Hugging Face and contributed by the HF Datasets community

DXC Framework for Linux and Unix type operating systems

Traffic analytics, rankings, and competitive metrics for linux.org as of September 2025

Linux Commands

This is a high quality dataset containg various Linux commands and their explanations.

The Linux software market, valued at $5885.6 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 15.3% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of cloud computing and the rise of big data analytics significantly contribute to the market's momentum. Linux's open-source nature, cost-effectiveness, and robust security features make it an attractive alternative to proprietary operating systems, particularly for businesses seeking to reduce IT infrastructure costs and enhance security posture. Furthermore, the growing demand for high-performance computing (HPC) solutions across various industries, such as finance, healthcare, and research, is further bolstering Linux's market share. The increasing reliance on embedded systems and the Internet of Things (IoT) is also creating new avenues for Linux deployment, contributing to its overall growth. The competitive landscape is dominated by major technology companies including Google, Twitter, Facebook, Amazon, IBM, Oracle, Novell, RedHat, Dell, Samsung, and Microsoft, each contributing to innovation and driving market expansion through diverse applications and support ecosystems. However, challenges exist. The complexities involved in Linux system administration can pose a barrier to entry for some users, while the fragmented nature of the Linux ecosystem, with various distributions and support levels, may present complexities for businesses. Despite these restraints, the continued innovation within the open-source community and the growing support from major technology vendors suggest that the Linux software market will continue its trajectory of rapid growth, driven by the persistent need for flexible, secure, and cost-effective operating systems in an increasingly digital world. The historical period (2019-2024) likely saw a similar growth trend, though specific data points are absent; estimating the historical market size requires additional information. Nevertheless, the 2025-2033 forecast period is poised for considerable expansion based on current trends and the drivers outlined above.

Dataset

This dataset was created by Om Duggineni

Contents

The Linux Operating System market has emerged as a powerhouse in the realm of technology, demonstrating significant growth and resilience over the years. With its open-source nature, Linux has become the backbone of many enterprises, particularly for server environments, cloud computing, and embedded systems. As org