Registry › Compare › Dify vs Hatchet

Dify vs Hatchet

Dify leads on trust: 79.1/100 (Grade B) against 67.3/100 (Grade B), a 11.8-point gap. Dify leads on adoption and rests on broader evidence.

B Dify 79.1

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

langgenius/dify · #176 overall · #5 Workflow Platforms · coverage A (4/5)

Choose Dify if adoption matters most.

+10.6Adoption: 158.4k GitHub stars against 8.1k
A vs CEvidence coverage: 4 of 5 independent signal types, against 2

B Hatchet 67.3

🪓 An orchestration engine for background tasks, AI agents, and durable workflows

hatchet-dev/hatchet · #435 overall · #8 Workflow Platforms · coverage C (2/5)

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

Where they differ

12.8

Safety / IntegrityDify +0.1

12.7

13.8

TransparencyHatchet +0.1

13.9

20.0

AdoptionDify +10.6

9.4

+1.7

Runtime calibrationDify +1.2

+0.5

2 dimensions identical: Identity 10.8 · Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of Dify and Hatchet, two Workflow Platforms projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Difylanggenius/dify	Hatchethatchet-dev/hatchet
HVTrust score	79.1	67.3
Evidence grade	B	B
Coverage grade	A	C
Overall rank	#176	#435
Rank in Workflow Platforms	#5	#8
GitHub stars	158.4k	8.1k
Last updated	today	today
Build provenance	No	No
OSSF Scorecard	6.2 / 10	6.3 / 10
License	NOASSERTION	MIT
Downloads	24.7M/wk	—
Trust dimensions (points earned)
Safety / integrity / 25	12.8	12.7
Identity & provenance / 18	10.8	10.8
Transparency / 17	13.8	13.9
Maintenance / 20	20.0	20.0
Adoption / 20	20.0	9.4
Runtime capability surface (full matrix)
MCP server	Declared	Implemented
External providers	—	4 — Amazon Bedrock, Anthropic, OpenAI, …
Requires API keys	No	No
Plugin surface	plugins	—
Provenance drift	Partial	—

Open in the live compare tool → Dify profile Hatchet profile More Workflow Platforms →

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 →