Registry › Compare › OpenScience vs Unstructured

OpenScience vs Unstructured

Unstructured leads on trust: 88.0/100 (Grade A) against 82.3/100 (Grade A), a 5.7-point gap. OpenScience leads on maintenance; Unstructured leads on adoption and supply-chain integrity, and rests on broader evidence.

A OpenScience 82.3

The open-source AI workbench for scientific research

synthetic-sciences/openscience · #118 overall · #5 Research & Data · coverage B (3/5)

Choose OpenScience if maintenance matters most.

+3.0Maintenance

A Unstructured 88.0

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 · #39 overall · #2 Research & Data · coverage A (4/5)

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

+4.2Adoption: 621.8k weekly downloads against 5.7k
+3.5Safety / Integrity: 100% of recent commits signed, against 56%
+0.9Transparency: OSSF Scorecard 6.6 against 5.5
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

17.2

Safety / IntegrityUnstructured +3.5

20.7

13.2

TransparencyUnstructured +0.9

14.1

20.0

MaintenanceOpenScience +3.0

17.0

13.6

AdoptionUnstructured +4.2

17.8

+0.3

Runtime calibrationUnstructured +0.1

+0.4

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of OpenScience 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	OpenSciencesynthetic-sciences/openscience	UnstructuredUnstructured-IO/unstructured
HVTrust score	82.3	88.0
Evidence grade	A	A
Coverage grade	B	A
Overall rank	#118	#39
Rank in Research & Data	#5	#2
GitHub stars	3.9k	15.5k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	5.5 / 10	6.6 / 10
License	Apache-2.0	Apache-2.0
Downloads	6k/wk	622k/wk
Trust dimensions (points earned)
Safety / integrity / 25	17.2	20.7
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.2	14.1
Maintenance / 20	20.0	17.0
Adoption / 20	13.6	17.8
Runtime capability surface (full matrix)
MCP server	Declared	Implemented
External providers	7 — Anthropic, Cohere, DeepSeek, …	7 — Amazon Bedrock, Google Gemini, OpenAI, …
Requires API keys	No	No
Plugin surface	plugins	—
Provenance drift	Match	Match

Open in the live compare tool → OpenScience 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 →