Best Open-Source Research & Data: Docling vs Unstructured
A data-backed comparison of the top two research & data on HVTracker, built from public trust signals rather than stars alone.
Short answer: Docling currently leads Unstructured on HVTracker's evidence-weighted trust score: 88.8 vs 84.7/100. This is not a popularity ranking; it combines supply-chain safety, identity/provenance, transparency, maintenance, and adoption signals.
Docling
Get your documents ready for gen AI
Unstructured
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex doc
Docling vs Unstructured: trust signal breakdown
Both projects are tracked in the Research & Data category, but they do not expose the same evidence. The table below compares the public signals that feed HVTrust.
| Signal | Docling | Unstructured |
|---|---|---|
| HVTrust score | 88.8 | 84.7 |
| Safety / Integrity | 18.8/30 | 20.9/30 |
| Identity / Provenance | 18.0/20 | 18.0/20 |
| Transparency | 13.1/20 | 14.2/20 |
| Maintenance | 19.1/20 | 13.4/20 |
| Adoption | 19.8/10 | 18.2/10 |
| OSSF Scorecard | 5.4 | 6.7 |
| Signed commits | 90% | 100% |
| Package provenance | Verified | Verified |
Which one should you evaluate first?
If your priority is the most verifiable trust profile today, start with Docling. It has the stronger current HVTrust score and ranks higher in Research & Data. If your use case depends on a specific runtime, language, license, or integration model, use the individual profiles rather than the headline score alone.
For production use, the practical checklist is: inspect the security policy, confirm package provenance or release signing where available, review recent maintenance cadence, and compare the exact trust breakdown. HVTracker is meant to reduce the first-pass research burden, not replace your own risk review.