Registry › Compare › Docling vs open-science

Docling vs open-science

Docling leads on trust: 89.3/100 (Grade A) against 62.4/100 (Grade C), a 26.9-point gap. Docling leads on adoption and supply-chain integrity, and rests on broader evidence.

A Docling 89.3

Get your documents ready for gen AI

docling-project/docling · #25 overall · #1 Research & Data · coverage A (4/5)

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

+10.4Adoption: 67.9k GitHub stars against 4.9k
+8.7Safety / Integrity: OSSF Scorecard 5.2 against 3.9
+7.2Identity / Provenance: package provenance attested, against none
+1.1Transparency: OSSF Scorecard 5.2 against 3.9

C open-science 62.4

The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.

aipoch/open-science · #556 overall · #9 Research & Data · coverage C (2/5)

open-science doesn't lead on any scored dimension in this pair.

Where they differ

18.6

Safety / IntegrityDocling +8.7

9.9

18.0

Identity / ProvenanceDocling +7.2

10.8

12.9

TransparencyDocling +1.1

11.8

19.3

AdoptionDocling +10.4

8.9

+0.5

Runtime calibrationopen-science +0.5

+1.0

1 dimension identical: Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of Docling and open-science, 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	Doclingdocling-project/docling	open-scienceaipoch/open-science
HVTrust score	89.3	62.4
Evidence grade	A	C
Coverage grade	A	C
Overall rank	#25	#556
Rank in Research & Data	#1	#9
GitHub stars	67.9k	4.9k
Last updated	today	today
Build provenance	Yes	No
OSSF Scorecard	5.2 / 10	3.9 / 10
License	MIT	Apache-2.0
Downloads	572k/wk	—
Trust dimensions (points earned)
Safety / integrity / 25	18.6	9.9
Identity & provenance / 18	18.0	10.8
Transparency / 17	12.9	11.8
Maintenance / 20	20.0	20.0
Adoption / 20	19.3	8.9
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	1 — OpenAI	1 — Anthropic
Requires API keys	No	No
Plugin surface	plugins	marketplace
Provenance drift	Unknown	—

Open in the live compare tool → Docling profile open-science 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 v4.3 →