Arize Phoenix vs LangWatch
LangWatch leads on trust: 86.7/100 (Grade A) against 75.1/100 (Grade B), a 11.6-point gap. Arize Phoenix leads on adoption; LangWatch leads on supply-chain integrity and transparency.
AI Observability & Evaluation
Choose Arize Phoenix if adoption matters most.
- +1.3Adoption: 158.2k weekly downloads against 83.1k
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
Choose LangWatch if supply-chain integrity and transparency matter most.
- +7.0Safety / Integrity: 82% of recent commits signed, against 63%
- +4.2Transparency
Where they differ
2 dimensions identical: Identity 18.0 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of Arize Phoenix and LangWatch, two Observability & Evaluation projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Arize PhoenixArize-AI/phoenix | LangWatchlangwatch/langwatch |
|---|---|---|
| HVTrust score | 75.1 | 86.7 |
| Evidence grade | B | A |
| Coverage grade | A | A |
| Overall rank | #261 | #76 |
| Rank in Observability & Evaluation | #9 | #3 |
| GitHub stars | 12.1k | 5.0k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | — | 4.9 / 10 |
| License | NOASSERTION | Apache-2.0 |
| Downloads | 158k/wk | 83k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.7 | 17.7 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 8.5 | 12.7 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 16.7 | 15.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 6 — Amazon Bedrock, Anthropic, E2B, … | 1 — Anthropic |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Partial | Partial |
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 →