·tqdm

A fast, extensible progress bar for Python and CLI. Instantly makes your loops show a smart progress meter with ETA, iterations per second, and customizable statistics. Minimal overhead. Use for monitoring long-running loops, simulations, data processing, ML training, file downloads, I/O operations, command-line tools, pandas operations, parallel tasks, and nested progress bars.

7Installs·0Trend·@tondevrel

Installation

$npx skills add https://github.com/tondevrel/scientific-agent-skills --skill tqdm

How to Install tqdm

Quickly install tqdm AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill tqdm
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: tondevrel/scientific-agent-skills.

SKILL.md

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tqdm is the standard tool for monitoring long-running loops in Python. It has negligible overhead (about 60ns per iteration) and works everywhere: in the console, in Jupyter notebooks, and even in GUIs.

Official docs: https://tqdm.github.io/ GitHub: https://github.com/tqdm/tqdm Search patterns: from tqdm import tqdm, tqdm.pandas(), tqdm.notebook, tqdm.contrib

Iterative Wrapper The simplest way to use tqdm is to wrap any iterable: for item in tqdm(iterable):. It automatically calculates the length and estimates the time remaining.

A fast, extensible progress bar for Python and CLI. Instantly makes your loops show a smart progress meter with ETA, iterations per second, and customizable statistics. Minimal overhead. Use for monitoring long-running loops, simulations, data processing, ML training, file downloads, I/O operations, command-line tools, pandas operations, parallel tasks, and nested progress bars. Source: tondevrel/scientific-agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/tondevrel/scientific-agent-skills --skill tqdm
Category
{}Data Analysis
Verified
First Seen
2026-02-25
Updated
2026-03-10

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Quick answers

What is tqdm?

A fast, extensible progress bar for Python and CLI. Instantly makes your loops show a smart progress meter with ETA, iterations per second, and customizable statistics. Minimal overhead. Use for monitoring long-running loops, simulations, data processing, ML training, file downloads, I/O operations, command-line tools, pandas operations, parallel tasks, and nested progress bars. Source: tondevrel/scientific-agent-skills.

How do I install tqdm?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill tqdm Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/tondevrel/scientific-agent-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-25