Hypit vs Langflow
Both are Grade B and 3.4 points apart, so choose on what you weigh most. Hypit leads on provenance; Langflow leads on transparency and adoption, and rests on broader evidence.
Clone any viral video with AI agents. Not just a script, the whole workflow: swap the face, the words, the B-roll, ship 100 variants in one command, and get your 100M views.
Choose Hypit if provenance matters most.
- +7.2Identity / Provenance: package provenance attested, against none
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Choose Langflow if transparency and adoption matter most.
- +4.7Transparency
- +2.2Adoption: 155.4k GitHub stars against 17.5k
- +1.9Safety / Integrity: 100% of recent commits signed, against 49%
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
An independent, evidence-based trust comparison of Hypit 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 | Hypithypit-ai/hypit | Langflowlangflow-ai/langflow |
|---|---|---|
| HVTrust score | 75.6 | 79.0 |
| Evidence grade | B | B |
| Coverage grade | B | A |
| Overall rank | #217 | #161 |
| Rank in Workflow Platforms | #6 | #5 |
| GitHub stars | 17.5k | 155.4k |
| Last updated | 1d ago | today |
| Build provenance | Yes | No |
| OSSF Scorecard | — | 5.5 / 10 |
| License | NOASSERTION | MIT |
| Downloads | 10k/wk | 8k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.0 | 11.9 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 8.5 | 13.2 |
| Maintenance / 20 | 19.9 | 20.0 |
| Adoption / 20 | 15.5 | 17.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | — | 1 — Postgres |
| Requires API keys | No | No |
| Plugin surface | — | plugins |
| Provenance drift | Match | 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 →