octosuite 5.2.0

Terminal-based toolkit for GitHub data analysis.

$ octosuite user torvalds

from pprint import pprint
import octosuite

user = octosuite.User(name="torvalds")
exists, profile = user.exists()

if exists:
    pprint(profile)

Installation

pip install octosuite

Usage

TUI (Interactive)

Launch the interactive terminal interface:

octosuite -t/--tui

Navigate using arrow keys and Enter to select options.

CLI

Query GitHub data directly from the command line:

# User data
octosuite user torvalds
octosuite user torvalds --repos --page 1 --per-page 50
octosuite user torvalds --followers --json

# Repository data
octosuite repo torvalds/linux
octosuite repo torvalds/linux --commits
octosuite repo torvalds/linux --stargazers --export ./data

# Organisation data
octosuite org github
octosuite org github --members --json

# Search
octosuite search "machine learning" --repos
octosuite search "python cli" --users --json

Common options:

• --page - Page number (default: 1)
• --per-page - Results per page, max 100 (default: 100)
• --json - Output as JSON
• --export DIR - Export to directory

Run octosuite <command> --help for available data type flags.

Library

Use octosuite in your Python projects:

from octosuite import User, Repo, Org, Search

# Get user data
user = User("torvalds")
exists, profile = user.exists()
if exists:
    repos = user.repos(page=1, per_page=100)
    followers = user.followers(page=1, per_page=50)

# Get repository data
repo = Repo(name="linux", owner="torvalds")
exists, profile = repo.exists()
if exists:
    commits = repo.commits(page=1, per_page=100)
    languages = repo.languages()

# Get organisation data
org = Org("github")
exists, profile = org.exists()
if exists:
    members = org.members(page=1, per_page=100)

# Search GitHub
search = Search(query="machine learning", page=1, per_page=50)
results = search.repos()

Features

Licence

MIT Licence. See the LICENCE file for details.