Registry › Compare › Feynman vs Unstructured

Feynman vs Unstructured

Unstructured leads on trust: 87.3/100 (Grade A) against 72.9/100 (Grade B), a 14.4-point gap. Feynman leads on maintenance; Unstructured leads on supply-chain integrity and transparency, and rests on broader evidence.

B Feynman 72.9

The open source AI research agent.

Companion-Inc/feynman · #285 overall · #6 Research & Data · coverage B (3/5)

Choose Feynman if maintenance matters most.

+2.4Maintenance

A Unstructured 87.3

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows…

Unstructured-IO/unstructured · #53 overall · #3 Research & Data · coverage A (4/5)

Choose Unstructured if supply-chain integrity and transparency matter most.

+12.0Safety / Integrity: 100% of recent commits signed, against 24%
+5.6Transparency
+2.5Adoption: 645k weekly downloads against 19k
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

8.7

Safety / IntegrityUnstructured +12.0

20.7

8.5

TransparencyUnstructured +5.6

14.1

20.0

MaintenanceFeynman +2.4

17.6

15.3

AdoptionUnstructured +2.5

17.8

+2.4

Runtime calibrationFeynman +3.3

-0.9

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Feynman and Unstructured, two Research & Data projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	FeynmanCompanion-Inc/feynman	UnstructuredUnstructured-IO/unstructured
HVTrust score	72.9	87.3
Evidence grade	B	A
Coverage grade	B	A
Overall rank	#285	#53
Rank in Research & Data	#6	#3
GitHub stars	9.9k	15.6k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	—	6.6 / 10
License	MIT	Apache-2.0
Downloads	19k/wk	645k/wk
Trust dimensions (points earned)
Safety / integrity / 25	8.7	20.7
Identity & provenance / 18	18.0	18.0
Transparency / 17	8.5	14.1
Maintenance / 20	20.0	17.6
Adoption / 20	15.3	17.8
Runtime capability surface (full matrix)
MCP server	Declared	—
External providers	—	7 — Amazon Bedrock, Google Gemini, OpenAI, …
Requires API keys	Yes	No
Plugin surface	extensions	—
Provenance drift	Match	Match

Open in the live compare tool → Feynman profile Unstructured profile More Research & Data →

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 →