Registry › Compare › LibreChat vs ToolJet

LibreChat vs ToolJet

LibreChat leads on trust: 73.7/100 (Grade B) against 62.7/100 (Grade C), a 11.0-point gap. LibreChat leads on adoption and supply-chain integrity, and rests on broader evidence.

B LibreChat 73.7

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…

danny-avila/LibreChat · #249 overall · #6 UI & App Builders · coverage A (4/5)

Choose LibreChat if adoption and supply-chain integrity matter most.

+7.7Adoption: 45k GitHub stars against 41k
+3.2Safety / Integrity: 100% of recent commits signed, against 45%
A vs CEvidence coverage: 4 of 5 independent signal types, against 2

C ToolJet 62.7

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/ToolJet · #548 overall · #11 UI & App Builders · coverage C (2/5)

ToolJet doesn't lead on any scored dimension in this pair.

Where they differ

11.4

Safety / IntegrityLibreChat +3.2

8.2

12.8

TransparencyLibreChat +0.2

12.6

20.0

MaintenanceLibreChat +0.1

19.9

18.8

AdoptionLibreChat +7.7

11.1

-0.1

Runtime calibrationToolJet +0.2

+0.1

1 dimension identical: Identity 10.8 · 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	LibreChatdanny-avila/LibreChat	ToolJetToolJet/ToolJet
HVTrust score	73.7	62.7
Evidence grade	B	C
Coverage grade	A	C
Overall rank	#249	#548
Rank in UI & App Builders	#6	#11
GitHub stars	45.0k	41.0k
Last updated	today	1d ago
Build provenance	No	No
OSSF Scorecard	5.1 / 10	4.8 / 10
License	MIT	AGPL-3.0
Downloads	546k/wk	—
Trust dimensions (points earned)
Safety / integrity / 25	11.4	8.2
Identity & provenance / 18	10.8	10.8
Transparency / 17	12.8	12.6
Maintenance / 20	20.0	19.9
Adoption / 20	18.8	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	—	—

Open in the live compare tool → LibreChat profile ToolJet profile More UI & App Builders →

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 v4.3 →