Crawl4AI vs open-science
Crawl4AI leads on trust: 71.0/100 (Grade B) against 62.4/100 (Grade C), a 8.6-point gap. Crawl4AI leads on adoption and transparency, and rests on broader evidence; open-science leads on supply-chain integrity and maintenance.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Choose Crawl4AI if adoption and transparency matter most.
- +10.2Adoption: 84.2k GitHub stars against 4.9k
- +0.8Transparency: OSSF Scorecard 4.8 against 3.9
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
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 supply-chain integrity and maintenance matter most.
- +1.9Safety / Integrity: 100% of recent commits signed, against 39%
- +1.2Maintenance: last push today, against 1d ago
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Crawl4AI and open-science, 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 | Crawl4AIunclecode/crawl4ai | open-scienceaipoch/open-science |
|---|---|---|
| HVTrust score | 71.0 | 62.4 |
| Evidence grade | B | C |
| Coverage grade | A | C |
| Overall rank | #312 | #556 |
| Rank in Research & Data | #6 | #9 |
| GitHub stars | 84.2k | 4.9k |
| Last updated | 1d ago | today |
| Build provenance | No | No |
| OSSF Scorecard | 4.8 / 10 | 3.9 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 267k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 8.0 | 9.9 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.6 | 11.8 |
| Maintenance / 20 | 18.8 | 20.0 |
| Adoption / 20 | 19.1 | 8.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 1 — OpenAI | 1 — Anthropic |
| Requires API keys | Yes | No |
| Plugin surface | marketplace | 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 →