Antigravity Sdk Python vs Notebooklm Py
An independent, evidence-based trust comparison of Antigravity Sdk Python and Notebooklm Py, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Antigravity Sdk Python leads on trust — 82.8/100 (Grade A) vs 78.7/100 (Grade B), a 4.1-point gap. Full breakdown below.
| Signal | Antigravity Sdk Pythongoogle-antigravity/antigravity-sdk-python | Notebooklm Pyteng-lin/notebooklm-py |
|---|---|---|
| HVTrust score | 82.8 | 78.7 |
| Evidence grade | A | B |
| Coverage grade | B | B |
| Overall rank | #3 | #8 |
| Rank in Agent Skills | #3 | #8 |
| GitHub stars | 3.3k | 19.1k |
| Last updated | 1d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 5.0 / 10 | — |
| License | Apache-2.0 | MIT |
| Downloads | 151k/wk | 37k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 13.8 | 10.1 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 12.8 | 8.5 |
| Maintenance / 20 | 19.9 | 20.0 |
| Adoption / 20 | 15.3 | 16.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 1 — Google Gemini | — |
| Requires API keys | Yes | No |
| Plugin surface | — | — |
| Provenance drift | Match | Match |
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Antigravity Sdk Python profile
Notebooklm Py profile
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How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.3 →