open-science vs Unstructured
Unstructured leads on trust: 87.7/100 (Grade A) against 62.4/100 (Grade C), a 25.3-point gap. open-science leads on maintenance; Unstructured leads on supply-chain integrity and adoption, 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.
Choose open-science if maintenance matters most.
- +3.4Maintenance
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Choose Unstructured if supply-chain integrity and adoption matter most.
- +10.8Safety / Integrity: OSSF Scorecard 6.6 against 3.9
- +8.8Adoption: 15.5k GitHub stars against 4.9k
- +7.2Identity / Provenance: package provenance attested, against none
- +2.3Transparency: OSSF Scorecard 6.6 against 3.9
Where they differ
An independent, evidence-based trust comparison of open-science 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 | open-scienceaipoch/open-science | UnstructuredUnstructured-IO/unstructured |
|---|---|---|
| HVTrust score | 62.4 | 87.7 |
| Evidence grade | C | A |
| Coverage grade | C | A |
| Overall rank | #556 | #42 |
| Rank in Research & Data | #9 | #3 |
| GitHub stars | 4.9k | 15.5k |
| Last updated | today | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 3.9 / 10 | 6.6 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | — | 541k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 9.9 | 20.7 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 11.8 | 14.1 |
| Maintenance / 20 | 20.0 | 16.6 |
| Adoption / 20 | 8.9 | 17.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 1 — Anthropic | 7 — Amazon Bedrock, Google Gemini, OpenAI, … |
| Requires API keys | No | No |
| Plugin surface | marketplace | — |
| 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 →