Botpress vs Trigger.dev
Both are Grade A and 0.1 points apart, so choose on what you weigh most. Botpress leads on supply-chain integrity and rests on broader evidence; Trigger.dev leads on maintenance and adoption.
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Choose Botpress if supply-chain integrity matters most.
- +5.1Safety / Integrity: 99% of recent commits signed, against 2%
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Trigger.dev – build and deploy durable AI agents and workflows
Choose Trigger.dev if maintenance and adoption matter most.
- +2.8Adoption: 1.5M weekly downloads against 16k
- +1.9Maintenance
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of Botpress and Trigger.dev, 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 | Botpressbotpress/botpress | Trigger.devtriggerdotdev/trigger.dev |
|---|---|---|
| HVTrust score | 87.2 | 87.1 |
| Evidence grade | A | A |
| Coverage grade | A | B |
| Overall rank | #71 | #74 |
| Rank in Workflow Platforms | #2 | #3 |
| GitHub stars | 15.0k | 16.8k |
| Last updated | 2d ago | 2d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.2 / 10 | 6.0 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 16k/wk | 1.5M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.2 | 15.1 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.8 | 13.6 |
| Maintenance / 20 | 18.0 | 19.9 |
| Adoption / 20 | 15.6 | 18.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | — | 4 — Anthropic, OpenAI, Postgres, … |
| Requires API keys | Yes | No |
| Plugin surface | plugins | extensions |
| 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 →