dev-dna

23andMe for developers. Point it at any GitHub username and get a rich terminal report of their Developer DNA — dominant languages, evolution over time, commit personality archetype, specialization vs. generalist score, star power, and a shareable summary.

Install

pip install dev-dna

Or install from source:

git clone https://github.com/lakshmisravyavedantham/dev-dna
cd dev-dna
pip install -e .

Usage

# Analyze any public GitHub profile
dev-dna torvalds

# Output raw JSON
dev-dna torvalds --json

# Pass a GitHub token for higher rate limits (60 → 5000 req/hr)
dev-dna torvalds --token ghp_xxx
# or set the env var:
export GITHUB_TOKEN=ghp_xxx
dev-dna torvalds

# Compare two developers side-by-side
dev-dna gvanrossum --compare torvalds

Sample Output

╔══════════════════════════════════════════════════════════╗
║              DEV DNA ANALYSIS                            ║
║              github.com/lakshmisravyavedantham           ║
╚══════════════════════════════════════════════════════════╝

ARCHETYPE: The Toolsmith
"Ships fast. Builds tools that make other developers' lives
 easier. Prefers CLI over GUI. Has opinions about your commit
 messages."

LANGUAGE DNA
  Python         ████████████████████  67%
  TypeScript     ██████░░░░░░░░░░░░░░  18%
  JavaScript     ████░░░░░░░░░░░░░░░░  10%
  HTML           ██░░░░░░░░░░░░░░░░░░   5%

EVOLUTION
  Started with:  Python (2022)
  Now building:  Python + TypeScript
  Trajectory:    Expanding into full-stack

VELOCITY
  108 repos over ~24 months = 4.5 repos/month
  That's faster than 94% of GitHub developers

STAR POWER
  Total stars:      4
  Best performer:   Coherence (1 star)
  Untapped potential: high output, early-stage discovery

SCORES
  Specialization   ████████████░░░░░░░░   72/100  (focused depth)
  Documentation    ████████░░░░░░░░░░░░   41/100  (descriptions + readability)
  Open Source      ███████░░░░░░░░░░░░░   38/100  (repos with license)
  Velocity         ████████████████████   96/100  (shipping speed)

DEVELOPER TRAITS
  + Prolific builder — top 5% by repo count
  + AI-native — 60%+ of recent work involves LLMs
  - Discovery gap — great code, low visibility
  - Documentation debt — many repos lack descriptions

DNA INSIGHT
  You build at a rare velocity. The bottleneck isn't output —
  it's surface area. Adding descriptions, PyPI packages, and
  one viral project would unlock the stars your code deserves.

What it analyzes

Architecture

src/dev_dna/
├── __init__.py       — public API
├── cli.py            — Click CLI + Rich rendering
└── analyzer.py       — GitHub API calls + metric computation

• Uses only urllib.request for HTTP (no requests library)
• Zero external dependencies beyond click and rich
• Supports GITHUB_TOKEN env var or --token flag for 5000 req/hr rate limit
• Gracefully handles: rate limits, private-only accounts, 0-star accounts, missing data

License

MIT