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.
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.
open-science doesn't lead on any scored dimension in this pair.
The open-source AI workbench for scientific research
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
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 |
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 →