Ross ROSS = Recommend OSS · open-source software intelligence for agents

gleitz/howdoi

instant coding answers via the command line observed · 2026-08-28

github.com/gleitz/howdoi · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 77
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 5032
  • days_rel: n/a
  • days_push: 140
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

10839 stars · 862 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

howdoi is a command-line tool that fetches instant coding answers from the web (primarily Stack Overflow) so you can get code snippets without opening a browser. It is written in Python, installable via pip or brew, and MIT-licensed.

Use cases

  • get a code snippet for formatting a date in bash without leaving the terminal
  • look up how to print a stack trace in python from the command line
  • find the tar command to create an archive quickly
  • search stack overflow answers directly from the console
  • avoid opening a browser while coding to look up syntax

When to choose

  • you want quick, copy-pasteable code answers while staying in the terminal
  • you frequently look up small syntax or command-line questions
  • you want a lightweight pip-installable helper with no browser overhead

When to avoid

  • you need in-depth explanations, tutorials, or documentation rather than snippets
  • you need answers offline or without web access
  • you need an IDE-integrated assistant or AI-powered code completion

Facets

cli-tool · maturity active

search-engine cli developer-tools developer-tools programming-languages cli python cross-platform windows coding-answers stack-overflow terminal quick-help pypi command-line macos linux

2 sources

Member repositories

RepositoryRoleHealth v2
gleitz/howdoimain67

For agents

markdown · JSON · MCP: product_card(name="gleitz/howdoi")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem