EM
Nubaeon/empirica
Make AI agents and AI workflows measurably reliable. Epistemic measurement, Noetic RAG, Sentinel gating, and grounded calibration for Claude Code and beyond
205 25 +0/wk
GitHub
ai-agents ai-memory ai-native-shell ai-os ai-workflows anti-confabulation epistemic-ai
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Nubaeon/empirica has +0 stars this period . 7-day velocity: 0.5%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | empirica | graphsignal-python | compv | GitHub-Copilot-Dev-Days |
|---|---|---|---|---|
| Stars | 205 | 205 | 205 | 205 |
| Forks | 25 | 10 | 44 | 48 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | C++ | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | GPL-3.0 | MIT |
Capability Radar vs graphsignal-python
empirica
graphsignal-python
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 61
Fork-to-star ratio: 12.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.