REPOSITORY OBSERVATORY ● LIVE SIGNAL

Read the hidden
physics of code.

A scientific intelligence layer for GitHub repositories. RepoScope reconstructs activity, ownership, maintenance pressure and engineering risk into one living system map.

CALIBRATION TARGETS
01Health fieldExplainable 0–100 system score
02Ownership gravityBus factor + concentration risk
03Flow velocityCommits, issues and PR dynamics
STRUCTURAL HEALTH✦CONTRIBUTOR GRAVITY✦MAINTENANCE PRESSURE✦CODE FLOW✦RISK VECTORS✦STRUCTURAL HEALTH
THE SCIENCE LAYER

Not another dashboard.
A system model.

αObserve

Reconstruct recent repository behavior from real GitHub signals.

βMeasure

Quantify resilience, velocity, ownership concentration and hygiene.

γExplain

Translate the measurements into visible engineering risk and next actions.

CONTROL EXPERIMENT ●

Place two codebases in the same field.

Benchmark resilience, activity and maintenance pressure side by side.

VERSUS
SYSTEM ARCHITECTURE ●

Four layers. One observatory.

01
Signal ingestion

GitHub REST API, pagination, authentication, rate-limit handling and TTL caching.

02
Measurement engine

Activity, issue/PR hygiene, contributor concentration and health scoring.

03
Inference layer

Explainable alerts, smart diagnosis and an optional LLM analyst.

04
Cloud observatory

FastAPI + Docker with CI and multi-platform deployment support.