ashuiGordon

Stata CLI for Agent; Stata CLI Is All Reg Monkeys Need

12
0
100% credibility
Found May 14, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

stata-cli provides a terminal interface to execute Stata commands, run scripts, inspect data and results, access help, and export graphs with high performance optimizations.

How It Works

1
🔍 Hear about stata-cli

You learn about a simple tool that makes running your statistics work in Stata much faster and easier from your computer's prompt.

2
📥 Add it to your computer

You install it quickly with one easy step, and it works right alongside your existing Stata program.

3
Confirm it's ready

You check that it automatically finds and connects to your Stata setup without any hassle.

4
🚀 Turn on fast mode

Start a helpful background assistant that speeds up your work from seconds to a blink.

5
Run your analysis

Enter your stats commands or load a script, and watch the results appear right away.

6
📊 Explore data and pictures

View your data tables, check details, get help topics, or save chart images neatly organized.

🎉 Insights in a flash

You now handle data analysis super quickly, getting reliable results and visuals whenever you need them.

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Star Growth

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AI-Generated Review

What is stata-cli?

Stata-cli is a Python CLI that lets you run Stata commands, .do files, and queries directly from the terminal using PyStata—no GUI needed. It handles code execution, data viewing as JSON, variable inspection, matrix pulls, help lookups, and graph exports to PNG/SVG/PDF, solving the hassle of launching full Stata for quick stats tasks like cliff's delta or csdid from github stata code. A daemon mode slashes startup to sub-second speeds, with JSON output for easy agent integration.

Why is it gaining traction?

Daemon delivers 35x faster execution than cold starts, auto-detects Stata installs (even stata 18 github or 19 paths), and preprocesses .do files for seamless graph naming—one click stata github install via pip or npm. Agent hooks like structured r()/e() results, token limits, and SKILL.md make it a drop-in stata client for github stata copilot workflows, standing out over manual scripting or point-and-click hacks.

Who should use this?

Stats analysts grinding regressions or clifford stats in terminal scripts, econ researchers automating climate change stata or clingan stats pipelines, and AI agents needing stata github integration for csdid stata github or one click stata tasks. Ideal for reg monkeys ditching sata clinic GUIs for daemon-powered, json-fed automation.

Verdict

Grab it if you live in Stata—pip install gets you running in seconds with solid docs and MIT license, despite 12 stars and 1.0% credibility signaling early maturity. Test on non-critical workflows first; it's raw but punches above for agent and CLI power users.

(198 words)

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