Evidently vs Promptfoo
Promptfoo leads on trust: 92.2/100 (Grade A) against 77.9/100 (Grade B), a 14.3-point gap. Promptfoo leads on maintenance and supply-chain integrity.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Evidently doesn't lead on any scored dimension in this pair.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Choose Promptfoo if maintenance and supply-chain integrity matter most.
- +7.1Maintenance: last push today, against 4d ago
- +5.5Safety / Integrity: 100% of recent commits signed, against 89%
- +3.4Transparency: OSSF Scorecard 7.4 against 3.4
- +2.1Adoption: 905.4k weekly downloads against 204.9k
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of Evidently and Promptfoo, 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 | Evidentlyevidentlyai/evidently | Promptfoopromptfoo/promptfoo |
|---|---|---|
| HVTrust score | 77.9 | 92.2 |
| Evidence grade | B | A |
| Coverage grade | A | A |
| Overall rank | #180 | #8 |
| Rank in Observability & Evaluation | #8 | #1 |
| GitHub stars | 8.0k | 25.7k |
| Last updated | 4d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 3.4 / 10 | 7.4 / 10 |
| License | Apache-2.0 | MIT |
| Downloads | 205k/wk | 905k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 16.2 | 21.7 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 11.4 | 14.8 |
| Maintenance / 20 | 12.9 | 20.0 |
| Adoption / 20 | 16.4 | 18.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 3 — Multi-provider (LiteLLM), OpenAI, Postgres | 3 — Amazon Bedrock, Anthropic, OpenAI |
| Requires API keys | No | Yes |
| Plugin surface | — | plugins |
| Provenance drift | Match | 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 →