OpenScience vs Unstructured
Both are Grade A and 4.5 points apart, so choose on what you weigh most. OpenScience leads on maintenance; Unstructured leads on supply-chain integrity and adoption, and rests on broader evidence.
The open-source AI workbench for scientific research
Choose OpenScience if maintenance matters most.
- +2.1Maintenance: last push today, against 1d ago
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows…
Choose Unstructured if supply-chain integrity and adoption matter most.
- +5.9Adoption: 718.6k weekly downloads against 309
- +1.5Safety / Integrity: 100% of recent commits signed, against 79%
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of OpenScience 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 | OpenSciencesynthetic-sciences/openscience | UnstructuredUnstructured-IO/unstructured |
|---|---|---|
| HVTrust score | 83.3 | 87.8 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #116 | #53 |
| Rank in Research & Data | #5 | #3 |
| GitHub stars | 4.0k | 15.6k |
| Last updated | today | 1d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.4 / 10 | 6.7 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 309/wk | 719k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 19.4 | 20.9 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.9 | 14.2 |
| Maintenance / 20 | 20.0 | 17.9 |
| Adoption / 20 | 12.0 | 17.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | — |
| External providers | 7 — Anthropic, Cohere, DeepSeek, … | 7 — Amazon Bedrock, Google Gemini, OpenAI, … |
| Requires API keys | No | No |
| Plugin surface | plugins | — |
| Provenance drift | Match | 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 v4.4 →