Registry › Compare › Cloudflare Agents vs PydanticAI

Cloudflare Agents vs PydanticAI

Both are Grade A and 1.6 points apart, so choose on what you weigh most. PydanticAI leads on supply-chain integrity and adoption, and rests on broader evidence. Note: Cloudflare Agents's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A Cloudflare Agents 90.2

Build and deploy AI Agents on Cloudflare

cloudflare/agents · #26 overall · #7 Agent Frameworks · coverage B (3/5)

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

A PydanticAI 88.6

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

pydantic/pydantic-ai · #52 overall · #8 Agent Frameworks · coverage A (4/5)

Choose PydanticAI if supply-chain integrity and adoption matter most.

+1.0Safety / Integrity: OSSF Scorecard 6.0 against 5.2
+0.9Adoption: 21k GitHub stars against 5.9k
+0.7Transparency: OSSF Scorecard 6.0 against 5.2
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

19.0

Safety / IntegrityPydanticAI +1.0

20.0

12.9

TransparencyPydanticAI +0.7

13.6

19.9

MaintenancePydanticAI +0.1

20.0

17.8

AdoptionPydanticAI +0.9

18.7

+2.6

Runtime calibrationCloudflare Agents +4.3

-1.7

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Cloudflare Agents and PydanticAI, two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Cloudflare Agentscloudflare/agents	PydanticAIpydantic/pydantic-ai
HVTrust score	90.2	88.6
Evidence grade	A	A
Coverage grade	B	A
Overall rank	#26	#52
Rank in Agent Frameworks	#7	#8
GitHub stars	5.9k	21.0k
Last updated	1d ago	today
Build provenance	Yes	Yes
OSSF Scorecard	5.2 / 10	6.0 / 10
License	MIT	MIT
Downloads	3.4M/wk	1.7M/wk
Trust dimensions (points earned)
Safety / integrity / 25	19.0	20.0
Identity & provenance / 18	18.0	18.0
Transparency / 17	12.9	13.6
Maintenance / 20	19.9	20.0
Adoption / 20	17.8	18.7
Runtime capability surface (full matrix)
MCP server	Implemented	Declared
External providers	2 — Anthropic, OpenAI	9 — Amazon Bedrock, Anthropic, Cohere, …
Requires API keys	No	No
Plugin surface	extensions	plugins
Provenance drift	Match	Match

Open in the live compare tool → Cloudflare Agents profile PydanticAI profile More Agent Frameworks →

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 →