Dify vs Langflow
Both score 79.3/100, so choose on what you weigh most. Dify leads on adoption and supply-chain integrity.
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.
Choose Dify if adoption and supply-chain integrity matter most.
- +2.3Adoption: 24.4M weekly downloads against 8.6k
- +0.8Safety / Integrity: OSSF Scorecard 6.3 against 5.7
- +0.6Transparency: OSSF Scorecard 6.3 against 5.7
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Langflow doesn't lead on any scored dimension in this pair.
Where they differ
2 dimensions identical: Identity 10.8 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of Dify and Langflow, 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 | Langflowlangflow-ai/langflow |
|---|---|---|
| HVTrust score | 79.3 | 79.3 |
| Evidence grade | B | B |
| Coverage grade | A | A |
| Overall rank | #158 | #159 |
| Rank in Workflow Platforms | #4 | #5 |
| GitHub stars | 157.8k | 155.5k |
| Last updated | today | today |
| Build provenance | No | No |
| OSSF Scorecard | 6.3 / 10 | 5.7 / 10 |
| License | NOASSERTION | MIT |
| Downloads | 24.4M/wk | 9k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 12.9 | 12.1 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 13.9 | 13.3 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 20.0 | 17.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | — | 1 — Postgres |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Partial | 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 →