OSS Radar — AI Stack Intelligence

Track trending AI open-source tools, discover underrated gems, and spot abandoned repos.

Zero cost. Runs on GitHub Actions (free) + GitHub Pages (free). No servers, no databases, no cloud bills.

Live at: radar.aegismemory.com

What it does

• Trending — Top AI repos by star growth (3-day / 7-day / 30-day windows)
• Underrated Gems — High-quality repos under 500 stars that most people haven't found yet
• Abandoned Detector — Popular repos with no commits in 30+ days (the "hot but dead" trap)
• Category filtering — Agent frameworks, model serving, RAG, fine-tuning, MCP, dev tools, evals, MLOps
• Auto-updated — GitHub Actions cron runs every 6 hours

The Gem Score algorithm

Each repo gets a weighted quality score (0-100%):

Signal	Weight	What it measures
Commit velocity	30%	Commits per week over last 30 days
Issue engagement	20%	Open issues relative to stars (community interest)
Star acceleration	15%	Stars gained per day of existence
Contributor diversity	15%	Unique contributors (bus-factor proxy)
Docs quality	10%	Description length + topic tag coverage
Push recency	10%	How recently the repo was updated

Repos with < 500 stars and gem score ≥ 30% make the "Underrated Gems" list.

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Setup — Step by step

Step 1: Create the GitHub repo

# Clone this project
git clone <this-repo-url> oss-radar
cd oss-radar

Or create a new repo on GitHub named oss-radar and push these files to it.

Step 2: Create a GitHub Personal Access Token (PAT)

The collector needs a token to avoid API rate limits (unauthenticated = 60 req/hr, authenticated = 5,000 req/hr).

1. Go to https://github.com/settings/tokens?type=beta
2. Click "Generate new token" (Fine-grained token)
3. Name it oss-radar-collector
4. Set expiration to 90 days (you'll rotate it quarterly)
5. Under Repository access → select "Public Repositories (read-only)"
6. No additional permissions needed — read-only public access is enough
7. Click Generate token
8. Copy the token (you won't see it again)

Step 3: Add the token as a GitHub Actions secret

1. Go to your repo on GitHub → Settings → Secrets and variables → Actions
2. Click "New repository secret"
3. Name: GH_PAT
4. Value: paste the token from Step 2
5. Click Add secret

Step 4: Enable GitHub Pages

1. Go to your repo → Settings → Pages
2. Under Source, select "GitHub Actions"
3. Save

Step 5: Run the collector for the first time

You have two options:

Option A — Run locally (recommended for first time):

# Install dependency
pip install requests

# Set your token
export GITHUB_TOKEN="ghp_your_token_here"

# Run the collector
python collector/collect.py

# Check the output
cat site/data.json | head -20

Option B — Trigger via GitHub Actions:

1. Go to your repo → Actions tab
2. Click "Collect & Deploy" workflow on the left
3. Click "Run workflow" → "Run workflow" (the green button)
4. Wait ~5 minutes for it to complete

Step 6: Set up the custom domain (optional)

If you want radar.aegismemory.com:

1. Go to your DNS provider (wherever aegismemory.com is registered)
2. Add a CNAME record:
   • Name: radar
   • Value: quantifylabs.github.io (or your GitHub username + .github.io)
   • TTL: 3600
3. Go to your repo → Settings → Pages
4. Under Custom domain, enter radar.aegismemory.com
5. Check "Enforce HTTPS"
6. Wait 5-10 minutes for DNS propagation + SSL certificate

If you don't want a custom domain, delete the site/CNAME file. Your site will be at https://<username>.github.io/oss-radar/.

Step 7: Verify automation

After the first successful run, the cron job will run automatically every 6 hours (00:00, 06:00, 12:00, 18:00 UTC). Check:

1. Actions tab → you should see scheduled runs
2. site/data.json → should have real repo data
3. Your URL → the dashboard should render with repos

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Project structure

oss-radar/
├── .github/
│   └── workflows/
│       └── collect.yml      # GitHub Actions: cron + deploy
├── collector/
│   ├── collect.py           # Main collection script (~350 lines)
│   └── requirements.txt     # Just: requests
├── site/
│   ├── index.html           # Frontend dashboard
│   ├── data.json            # Generated data (auto-updated)
│   ├── history.json         # Star snapshots (for computing deltas)
│   └── CNAME                # Custom domain config
├── .gitignore
└── README.md

Architecture

GitHub Actions cron (every 6h, free)
        │
        ▼
collector/collect.py
        │
        ├── GitHub Search API → find AI repos by topic
        ├── GitHub REST API  → fetch commits, contributors
        ├── Gem Score engine  → weighted quality scoring
        └── Star delta calc   → compare with history.json
        │
        ▼
site/data.json (committed to repo)
        │
        ▼
GitHub Pages (free static hosting)
        │
        ▼
radar.aegismemory.com

Total monthly cost: ₹0

• GitHub Actions: ~90 min/month (free tier = 2,000 min)
• GitHub Pages: free for public repos
• GitHub API: ~1,200 req/day (free tier = 5,000/hr)
• Domain: already owned

Customizing

Add more topics to scan

Edit SEARCH_TOPICS in collector/collect.py:

SEARCH_TOPICS = [
    "llm", "ai-agent", ...
    "your-new-topic",  # add here
]

Change the gem threshold

Edit GEM_STAR_CEILING in collector/collect.py:

GEM_STAR_CEILING = 500   # max stars to qualify as "underrated"

Change scan frequency

Edit .github/workflows/collect.yml:

schedule:
  - cron: "0 */6 * * *"   # every 6 hours
  # - cron: "0 */12 * * *" # every 12 hours
  # - cron: "0 0 * * *"    # once daily at midnight

Tech stack

• Python 3.12 + requests — data collection
• GitHub REST API — repo discovery and metadata
• Static HTML/CSS/JS — no framework, no build step
• GitHub Actions — cron scheduler
• GitHub Pages — hosting

License

MIT — Quantify Labs Ltd

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Built by Arulnidhi Karunanidhi · Quantify Labs