Crawl4AI vs WrenAI
WrenAI leads on trust: 85.7/100 (Grade A) against 71.3/100 (Grade B), a 14.4-point gap. Crawl4AI leads on maintenance and adoption, and rests on broader evidence; WrenAI leads on supply-chain integrity and provenance. Note: WrenAI's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf
Choose Crawl4AI if maintenance and adoption matter most.
- +6.3Adoption: 358.1k weekly downloads against 121
- +0.8Maintenance
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Choose WrenAI if supply-chain integrity and provenance matter most.
- +11.6Safety / Integrity: 94% of recent commits signed, against 28%
- +7.2Identity / Provenance: package provenance attested, against none
- +0.5Transparency: OSSF Scorecard 5.5 against 4.9
Where they differ
An independent, evidence-based trust comparison of Crawl4AI and WrenAI, 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 | WrenAICanner/WrenAI |
|---|---|---|
| HVTrust score | 71.3 | 85.7 |
| Evidence grade | B | A |
| Coverage grade | A | B |
| Overall rank | #339 | #89 |
| Rank in Research & Data | #7 | #4 |
| GitHub stars | 86.8k | 18.0k |
| Last updated | 1d ago | 1d ago |
| Build provenance | No | Yes |
| OSSF Scorecard | 4.9 / 10 | 5.5 / 10 |
| License | Apache-2.0 | NOASSERTION |
| Downloads | 358k/wk | 121/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 7.5 | 19.1 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 12.7 | 13.2 |
| Maintenance / 20 | 19.3 | 18.5 |
| Adoption / 20 | 19.3 | 13.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 1 — OpenAI | 3 — Amazon Bedrock, Anthropic, Postgres |
| Requires API keys | Yes | No |
| Plugin surface | marketplace | 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 →