Registry › Compare › DeerFlow vs OpenScience

DeerFlow vs OpenScience

OpenScience leads on trust: 82.3/100 (Grade A) against 67.3/100 (Grade B), a 15.0-point gap. DeerFlow leads on transparency; OpenScience leads on provenance and supply-chain integrity, and rests on broader evidence.

B DeerFlow 67.3

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

bytedance/deer-flow · #402 overall · #8 Research & Data · coverage C (2/5)

Choose DeerFlow if transparency matters most.

+0.8Transparency: OSSF Scorecard 6.5 against 5.5

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 provenance and supply-chain integrity matter most.

+7.2Identity / Provenance: package provenance attested, against none
+4.1Safety / Integrity: package provenance attested, against none
+1.8Adoption
B vs CEvidence coverage: 3 of 5 independent signal types, against 2

Where they differ

13.1

Safety / IntegrityOpenScience +4.1

17.2

10.8

Identity / ProvenanceOpenScience +7.2

18.0

14.0

TransparencyDeerFlow +0.8

13.2

11.8

AdoptionOpenScience +1.8

13.6

-2.4

Runtime calibrationOpenScience +2.7

+0.3

1 dimension identical: Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of DeerFlow and OpenScience, 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	DeerFlowbytedance/deer-flow	OpenSciencesynthetic-sciences/openscience
HVTrust score	67.3	82.3
Evidence grade	B	A
Coverage grade	C	B
Overall rank	#402	#118
Rank in Research & Data	#8	#5
GitHub stars	83.4k	3.9k
Last updated	today	today
Build provenance	No	Yes
OSSF Scorecard	6.5 / 10	5.5 / 10
License	MIT	Apache-2.0
Downloads	—	6k/wk
Trust dimensions (points earned)
Safety / integrity / 25	13.1	17.2
Identity & provenance / 18	10.8	18.0
Transparency / 17	14.0	13.2
Maintenance / 20	20.0	20.0
Adoption / 20	11.8	13.6
Runtime capability surface (full matrix)
MCP server	Implemented	Declared
External providers	6 — E2B, OpenAI, OpenRouter, …	7 — Anthropic, Cohere, DeepSeek, …
Requires API keys	Yes	No
Plugin surface	extensions	plugins
Provenance drift	—	Match

Open in the live compare tool → DeerFlow profile OpenScience 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 →