Mieaz/github-repos-metadata-ge3

GitHub All Repositories Metadata Dataset (>= 3 Stars)

A comprehensive metadata dataset covering 5,289,726 public GitHub repositories with 3 or more stars (>= 3) spanning the history of GitHub from 2008 to 2026.

Data Recency & Snapshot Notice

• Snapshot Methodology: This dataset combines a comprehensive historical base archive (up to mid-2022) with continuous periodic crawler snapshots (2023 through 2026).
• Star Counts & Metrics: Star counts and repository metrics reflect the recorded values at the time of each repository's latest crawl/snapshot. Actively maintained projects may have higher live star counts on GitHub.com today.
• Coverage: Includes active and historical repositories created between 2008 and 2026.

---

Key Features

• Total Repositories: 5,289,726
• Rich Topics & Descriptions: Native tag arrays (topics), repo descriptions, licenses, homepage links, and star/fork metrics.
• Fast Search: Designed for instant topical search (e.g., Astronomy, BioInformatics, WebAssembly, Robotics, Machine Learning) using DuckDB, Polars, or Hugging Face datasets.
• Deduplicated & Cleaned: Deduplicated by owner/repo, prioritized by latest activity and rich metadata.

---

Dataset Schema

Column	Type	Example	Description
full_name	string	astropy/astropy	Full repository name (owner/repo)
owner	string	astropy	Organization or username
name	string	astropy	Repository name
description	string	Astronomy and astrophysics core library for Python	Repository description
topics	list<string>	['astronomy', 'astrophysics', 'python', 'fits']	List of repository topic tags
language	string	Python	Primary programming language
stars	int64	4820	Recorded stargazer count at snapshot
forks	int64	1540	Recorded fork count at snapshot
license	string	bsd-3-clause	Open source license key
homepage	string	https://www.astropy.org	Project homepage / website
created_at	timestamp	2011-08-25 21:00:00	Repository creation date
last_active	timestamp	2026-06-15 12:30:00	Most recent activity / push date

---

Quickstart: How to Find Projects (e.g., Astronomy)

1. Using Hugging Face datasets (Streaming / No full download required)

from datasets import load_dataset

# Stream the dataset directly from Hugging Face
ds = load_dataset("Mieaz/github-repos-metadata-ge3", split="train", streaming=True)

# Find all repositories with 'astronomy' or 'astrophysics'
astronomy_repos = []
for repo in ds:
    topics = [t.lower() for t in (repo.get("topics") or [])]
    desc = (repo.get("description") or "").lower()
    
    if "astronomy" in topics or "astronomy" in desc or "astrophysics" in topics:
        astronomy_repos.append(repo)
        if len(astronomy_repos) >= 20:
            break

for r in astronomy_repos:
    print(f"⭐ {r['stars']:>5} | {r['full_name']:<35} | {r['description'][:60]}")

2. Using DuckDB (Instant SQL Queries on Remote Parquet)

import duckdb

con = duckdb.connect()
query = '''
SELECT full_name, stars, language, description, topics
FROM 'hf://datasets/Mieaz/github-repos-metadata-ge3/data/train-*.parquet'
WHERE list_contains(topics, 'astronomy') 
   OR description ILIKE '%astronomy%'
ORDER BY stars DESC
LIMIT 15;
'''
print(con.execute(query).df())

---

License & Attribution

• Data compiled from public open-source event logs and repository records under Creative Commons Attribution 4.0 (CC-BY 4.0).