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
Data Types
User: profile, repos, subscriptions, starred, followers, following, orgs, gists, events, received_events
Repository: profile, forks, issue_events, events, assignees, branches, tags, languages, stargazers, subscribers, commits, comments, issues, releases, deployments, labels
Organisation: profile, repos, events, hooks, issues, members
Search: repos, users, commits, issues, topics
Export Formats
- JSON
- CSV
- HTML
Licence
MIT Licence. See the LICENCE file for details.
2 maintainers
Metadata
2 maintainers
Release files for octosuite 5.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| octosuite-5.1.0.tar.gz | 21.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| octosuite-5.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.8 kB
Release files / octosuite-5.1.0.tar.gz
| Download URL | octosuite-5.1.0.tar.gz |
|---|---|
| Size | 21.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
15cc4a8b3263e8dceadd023eb787e442d771742eb1d37248793646150323581c
|
|
BLAKE2b-256 checksum How to use checksums |
d691f9cac6ebf8de5f85b5e67a8914fdd879195c9759d6909b488a1724f0d690
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency logRelease files / octosuite-5.1.0-py3-none-any.whl
| Download URL | octosuite-5.1.0-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
23860e74161ad0ecb715ecc146745d9778cdd1d44aee8c1e8d2fa7188c03dc72
|
|
BLAKE2b-256 checksum How to use checksums |
13345976bb4222af7048be9d81687539126a2a3c99b4b8c47288500be56a03a4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency log
