Registry › Compare › Firecrawl vs WrenAI

Firecrawl vs WrenAI

Both are Grade A and 3.4 points apart, so choose on what you weigh most. Firecrawl leads on maintenance and adoption.

A Firecrawl 89.1

Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥

firecrawl/firecrawl · #37 overall · #2 Research & Data · coverage B (3/5)

Choose Firecrawl if maintenance and adoption matter most.

+7.0Adoption: 2.9M weekly downloads against 121
+1.5Maintenance: last push today, against 1d ago
+0.9Safety / Integrity: 98% of recent commits signed, against 94%
+0.5Transparency: OSSF Scorecard 6.1 against 5.5

A WrenAI 85.7

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.

Canner/WrenAI · #89 overall · #4 Research & Data · coverage B (3/5)

WrenAI doesn't lead on any scored dimension in this pair.

Where they differ

20.0

Safety / IntegrityFirecrawl +0.9

19.1

13.7

TransparencyFirecrawl +0.5

13.2

20.0

MaintenanceFirecrawl +1.5

18.5

20.0

AdoptionFirecrawl +7.0

13.0

-2.6

Runtime calibrationWrenAI +6.5

+3.9

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Firecrawl 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	Firecrawlfirecrawl/firecrawl	WrenAICanner/WrenAI
HVTrust score	89.1	85.7
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#37	#89
Rank in Research & Data	#2	#4
GitHub stars	198.0k	18.0k
Last updated	today	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	6.1 / 10	5.5 / 10
License	AGPL-3.0	NOASSERTION
Downloads	2.9M/wk	121/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.0	19.1
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.7	13.2
Maintenance / 20	20.0	18.5
Adoption / 20	20.0	13.0
Runtime capability surface (full matrix)
MCP server	—	Implemented
External providers	7 — Anthropic, Firecrawl, Groq, …	3 — Amazon Bedrock, Anthropic, Postgres
Requires API keys	Yes	No
Plugin surface	—	plugins
Provenance drift	Match	Match

Open in the live compare tool → Firecrawl profile WrenAI 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 →