LibreChat vs ToolJet
LibreChat leads on trust: 73.1/100 (Grade B) against 63.1/100 (Grade C), a 10.0-point gap. LibreChat leads on supply-chain integrity and adoption, and rests on broader evidence.
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User…
Choose LibreChat if supply-chain integrity and adoption matter most.
- +7.9Adoption: 46.9k GitHub stars against 41.2k
- +2.6Safety / Integrity: 100% of recent commits signed, against 38%
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
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
2 dimensions identical: Identity 10.8 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of LibreChat 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 | LibreChatLibreChat-AI/LibreChat | ToolJetToolJet/ToolJet |
|---|---|---|
| HVTrust score | 73.1 | 63.1 |
| Evidence grade | B | C |
| Coverage grade | A | C |
| Overall rank | #304 | #598 |
| Rank in UI & App Builders | #6 | #11 |
| GitHub stars | 46.9k | 41.2k |
| Last updated | today | today |
| Build provenance | No | No |
| OSSF Scorecard | 4.7 / 10 | 5.1 / 10 |
| License | MIT | AGPL-3.0 |
| Downloads | 655k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.9 | 8.3 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.5 | 12.8 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 19.0 | 11.1 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 4 — Anthropic, Google Gemini, OpenAI, … | 3 — Anthropic, OpenAI, Postgres |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| Provenance drift | — | — |
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 →