Botpress vs Hatchet
Botpress leads on trust: 86.9/100 (Grade A) against 67.3/100 (Grade B), a 19.6-point gap. Botpress leads on supply-chain integrity and provenance, and rests on broader evidence; Hatchet leads on maintenance.
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Choose Botpress if supply-chain integrity and provenance matter most.
- +7.5Safety / Integrity: 99% of recent commits signed, against 96%
- +7.2Identity / Provenance: package provenance attested, against none
- +6.2Adoption: 15k GitHub stars against 8.1k
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
Choose Hatchet if maintenance matters most.
- +2.4Maintenance: last push today, against 3d ago
Where they differ
An independent, evidence-based trust comparison of Botpress 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 | Botpressbotpress/botpress | Hatchethatchet-dev/hatchet |
|---|---|---|
| HVTrust score | 86.9 | 67.3 |
| Evidence grade | A | B |
| Coverage grade | A | C |
| Overall rank | #69 | #437 |
| Rank in Workflow Platforms | #3 | #8 |
| GitHub stars | 15.0k | 8.1k |
| Last updated | 3d ago | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.2 / 10 | 6.3 / 10 |
| License | MIT | MIT |
| Downloads | 15k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.2 | 12.7 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.8 | 13.9 |
| Maintenance / 20 | 17.6 | 20.0 |
| Adoption / 20 | 15.6 | 9.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | — | 4 — Amazon Bedrock, Anthropic, OpenAI, … |
| Requires API keys | Yes | No |
| Plugin surface | plugins | — |
| Provenance drift | 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 →