Hatchet vs Nocobase
Both are Grade B and 1.6 points apart, so choose on what you weigh most. Hatchet leads on supply-chain integrity and transparency; Nocobase leads on adoption and rests on broader evidence. Note: Hatchet's evidence coverage is thinner (coverage C vs B) — its score rests on fewer independent signal types.
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
Choose Hatchet if supply-chain integrity and transparency matter most.
- +4.1Safety / Integrity: 96% of recent commits signed, against 65%
- +1.7Transparency: OSSF Scorecard 6.3 against 4.3
NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.
Choose Nocobase if adoption matters most.
- +2.8Adoption: 24.6k GitHub stars against 8.1k
- B vs CEvidence coverage: 3 of 5 independent signal types, against 2
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Hatchet and Nocobase, 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 | Hatchethatchet-dev/hatchet | Nocobasenocobase/nocobase |
|---|---|---|
| HVTrust score | 67.3 | 65.7 |
| Evidence grade | B | B |
| Coverage grade | C | B |
| Overall rank | #439 | #491 |
| Rank in Workflow Platforms | #8 | #10 |
| GitHub stars | 8.1k | 24.6k |
| Last updated | today | today |
| Build provenance | No | No |
| OSSF Scorecard | 6.3 / 10 | 4.3 / 10 |
| License | MIT | NOASSERTION |
| Downloads | — | 16/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 12.7 | 8.6 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 13.9 | 12.2 |
| Maintenance / 20 | 20.0 | 19.7 |
| Adoption / 20 | 9.4 | 12.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Declared |
| External providers | 4 — Amazon Bedrock, Anthropic, OpenAI, … | 4 — Anthropic, DeepSeek, Google Gemini, … |
| Requires API keys | No | 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 →