Registry › Compare › Crawl4AI vs OpenScience

Crawl4AI vs OpenScience

OpenScience leads on trust: 83.3/100 (Grade A) against 70.4/100 (Grade B), a 12.9-point gap. Crawl4AI 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.

B Crawl4AI 70.4

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.

unclecode/crawl4ai · #324 overall · #6 Research & Data · coverage A (4/5)

Choose Crawl4AI if adoption matters most.

+5.6Adoption: 319.7k weekly downloads against 5.7k
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

A OpenScience 83.3

The open-source AI workbench for scientific research

synthetic-sciences/openscience · #104 overall · #5 Research & Data · coverage B (3/5)

Choose OpenScience if supply-chain integrity and provenance matter most.

+10.1Safety / Integrity: 59% of recent commits signed, against 39%
+7.2Identity / Provenance: package provenance attested, against none
+1.8Maintenance: last push 1d ago, against 6d ago
+1.1Transparency: OSSF Scorecard 6.1 against 4.8

Where they differ

8.0

Safety / IntegrityOpenScience +10.1

18.1

10.8

Identity / ProvenanceOpenScience +7.2

18.0

12.6

TransparencyOpenScience +1.1

13.7

18.1

MaintenanceOpenScience +1.8

19.9

19.2

AdoptionCrawl4AI +5.6

13.6

+1.7

Runtime calibrationCrawl4AI +1.7

+0.0

Full evidence table

An independent, evidence-based trust comparison of Crawl4AI 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	Crawl4AIunclecode/crawl4ai	OpenSciencesynthetic-sciences/openscience
HVTrust score	70.4	83.3
Evidence grade	B	A
Coverage grade	A	B
Overall rank	#324	#104
Rank in Research & Data	#6	#5
GitHub stars	84.6k	3.9k
Last updated	6d ago	1d ago
Build provenance	No	Yes
OSSF Scorecard	4.8 / 10	6.1 / 10
License	Apache-2.0	Apache-2.0
Downloads	320k/wk	6k/wk
Trust dimensions (points earned)
Safety / integrity / 25	8.0	18.1
Identity & provenance / 18	10.8	18.0
Transparency / 17	12.6	13.7
Maintenance / 20	18.1	19.9
Adoption / 20	19.2	13.6
Runtime capability surface (full matrix)
MCP server	—	Declared
External providers	1 — OpenAI	7 — Anthropic, Cohere, DeepSeek, …
Requires API keys	Yes	No
Plugin surface	marketplace	plugins
Provenance drift	Match	Match

Open in the live compare tool → Crawl4AI profile OpenScience profile More Research & Data →

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 →