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open-science vs OpenScience

OpenScience leads on trust: 82.4/100 (Grade A) against 62.4/100 (Grade C), a 20.0-point gap. OpenScience leads on supply-chain integrity and provenance, and rests on broader evidence.

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.

A OpenScience 82.4

The open-source AI workbench for scientific research

synthetic-sciences/openscience · #115 overall · #5 Research & Data · coverage B (3/5)

Choose OpenScience if supply-chain integrity and provenance matter most.

  • +7.4Safety / Integrity: OSSF Scorecard 5.5 against 3.9
  • +7.2Identity / Provenance: package provenance attested, against none
  • +4.7Adoption
  • +1.4Transparency: OSSF Scorecard 5.5 against 3.9

Where they differ

9.9
Safety / IntegrityOpenScience +7.4
17.3
10.8
Identity / ProvenanceOpenScience +7.2
18.0
11.8
TransparencyOpenScience +1.4
13.2
8.9
AdoptionOpenScience +4.7
13.6
+1.0
Runtime calibrationopen-science +0.7
+0.3

1 dimension identical: Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of open-science 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 open-scienceaipoch/open-science OpenSciencesynthetic-sciences/openscience
HVTrust score 62.4 82.4
Evidence grade C A
Coverage grade C B
Overall rank #556 #115
Rank in Research & Data #9 #5
GitHub stars 4.9k 3.6k
Last updated today today
Build provenance No Yes
OSSF Scorecard 3.9 / 10 5.5 / 10
License Apache-2.0 Apache-2.0
Downloads — 6k/wk
Trust dimensions (points earned)
Safety / integrity / 25 9.9 17.3
Identity & provenance / 18 10.8 18.0
Transparency / 17 11.8 13.2
Maintenance / 20 20.0 20.0
Adoption / 20 8.9 13.6
Runtime capability surface (full matrix)
MCP server Implemented Declared
External providers 1 — Anthropic 7 — Anthropic, Cohere, DeepSeek, …
Requires API keys No No
Plugin surface marketplace plugins
Provenance drift — Match
Open in the live compare tool → open-science 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 v4.3 →