Registry › Compare › Notebooklm Py vs OmniRoute

Notebooklm Py vs OmniRoute

Both are Grade A and 1.7 points apart, so choose on what you weigh most. OmniRoute leads on maintenance and adoption.

A Notebooklm Py 89.9

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

teng-lin/notebooklm-py · #4 overall · #4 Agent Skills · coverage B (3/5)

Notebooklm Py doesn't lead on any scored dimension in this pair.

A OmniRoute 91.6

Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A…

diegosouzapw/OmniRoute · #2 overall · #2 Agent Skills · coverage B (3/5)

Choose OmniRoute if maintenance and adoption matter most.

+1.5Adoption: 41.9k weekly downloads against 38.2k
+1.1Maintenance
+1.0Safety / Integrity: 95% of recent commits signed, against 69%

Where they differ

18.8

Safety / IntegrityOmniRoute +1.0

19.8

13.9

TransparencyNotebooklm Py +0.3

13.6

18.9

MaintenanceOmniRoute +1.1

20.0

16.4

AdoptionOmniRoute +1.5

17.9

+3.9

Runtime calibrationNotebooklm Py +1.6

+2.3

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Notebooklm Py and OmniRoute, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Notebooklm Pyteng-lin/notebooklm-py	OmniRoutediegosouzapw/OmniRoute
HVTrust score	89.9	91.6
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#4	#2
Rank in Agent Skills	#4	#2
GitHub stars	19.8k	79.4k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	6.3 / 10	6.0 / 10
License	MIT	MIT
Downloads	38k/wk	42k/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.8	19.8
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.9	13.6
Maintenance / 20	18.9	20.0
Adoption / 20	16.4	17.9
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	—	1 — OpenAI
Requires API keys	No	No
Plugin surface	—	plugins
Provenance drift	Match	Match

Open in the live compare tool → Notebooklm Py profile OmniRoute profile More Agent Skills →

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 v4.4 →