Open WebUI vs ToolJet
Open WebUI leads on trust: 83.6/100 (Grade A) against 63.1/100 (Grade C), a 20.5-point gap. Open WebUI leads on supply-chain integrity and adoption, and rests on broader evidence.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Choose Open WebUI if supply-chain integrity and adoption matter most.
- +8.7Adoption: 158.2k GitHub stars against 41.2k
- +8.6Safety / Integrity: 40% of recent commits signed, against 38%
- +7.2Identity / Provenance: package provenance attested, against none
- +0.7Transparency: OSSF Scorecard 5.9 against 5.1
Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents. Build visually, from a prompt, or from Claude Code, Codex and Cursor over MCP 🚀
ToolJet doesn't lead on any scored dimension in this pair.
Where they differ
1 dimension identical: Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of Open WebUI and ToolJet, two UI & App Builders projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Open WebUIopen-webui/open-webui | ToolJetToolJet/ToolJet |
|---|---|---|
| HVTrust score | 83.6 | 63.1 |
| Evidence grade | A | C |
| Coverage grade | A | C |
| Overall rank | #125 | #598 |
| Rank in UI & App Builders | #3 | #11 |
| GitHub stars | 158.2k | 41.2k |
| Last updated | today | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 5.9 / 10 | 5.1 / 10 |
| License | NOASSERTION | AGPL-3.0 |
| Downloads | 311k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 16.9 | 8.3 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.5 | 12.8 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 19.8 | 11.1 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 8 — Amazon Bedrock, Anthropic, OpenAI, … | 3 — Anthropic, OpenAI, Postgres |
| Requires API keys | Yes | No |
| Plugin surface | — | plugins |
| Provenance drift | Unknown | — |
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 →