GPT Researcher vs OpenScience
OpenScience leads on trust: 83.3/100 (Grade A) against 68.2/100 (Grade B), a 15.1-point gap. GPT Researcher leads on adoption and rests on broader evidence; OpenScience leads on supply-chain integrity and provenance. Note: OpenScience's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
An autonomous agent that conducts deep research on any data using any LLM providers
Choose GPT Researcher if adoption matters most.
- +4.1Adoption: 10.3k weekly downloads against 309
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
The open-source AI workbench for scientific research
Choose OpenScience if supply-chain integrity and provenance matter most.
- +9.2Safety / Integrity: 79% of recent commits signed, against 49%
- +7.2Identity / Provenance: package provenance attested, against none
- +0.8Maintenance: last push today, against 6d ago
Where they differ
An independent, evidence-based trust comparison of GPT Researcher 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 | GPT Researcherassafelovic/gpt-researcher | OpenSciencesynthetic-sciences/openscience |
|---|---|---|
| HVTrust score | 68.2 | 83.3 |
| Evidence grade | B | A |
| Coverage grade | A | B |
| Overall rank | #400 | #116 |
| Rank in Research & Data | #8 | #5 |
| GitHub stars | 30.1k | 4.0k |
| Last updated | 6d ago | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 6.2 / 10 | 6.4 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 10k/wk | 309/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.2 | 19.4 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 13.8 | 13.9 |
| Maintenance / 20 | 19.2 | 20.0 |
| Adoption / 20 | 16.1 | 12.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Declared |
| External providers | 5 — Firecrawl, Google Gemini, Multi-provider (LiteLLM), … | 7 — Anthropic, Cohere, DeepSeek, … |
| Requires API keys | Yes | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Unknown | 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 →