Instructor vs LiteLLM
LiteLLM leads on trust: 78.1/100 (Grade B) against 63.5/100 (Grade C), a 14.6-point gap. LiteLLM leads on supply-chain integrity and maintenance.
structured outputs for llms
Instructor doesn't lead on any scored dimension in this pair.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Choose LiteLLM if supply-chain integrity and maintenance matter most.
- +4.1Maintenance: last push today, against 8d ago
- +4.0Safety / Integrity: 100% of recent commits signed, against 29%
- +1.6Adoption: 23.1M weekly downloads against 2.2M
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Instructor and LiteLLM, two LLM Gateways & Infra projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Instructor567-labs/instructor | LiteLLMBerriAI/litellm |
|---|---|---|
| HVTrust score | 63.5 | 78.1 |
| Evidence grade | C | B |
| Coverage grade | A | A |
| Overall rank | #570 | #208 |
| Rank in LLM Gateways & Infra | #8 | #4 |
| GitHub stars | 14.1k | 62.6k |
| Last updated | 8d ago | today |
| Build provenance | No | No |
| OSSF Scorecard | 5.6 / 10 | 5.9 / 10 |
| License | MIT | NOASSERTION |
| Downloads | 2.2M/wk | 23.1M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 8.4 | 12.4 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 13.3 | 13.5 |
| Maintenance / 20 | 15.9 | 20.0 |
| Adoption / 20 | 18.4 | 20.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 11 — Amazon Bedrock, Anthropic, Cohere, … | 7 — Amazon Bedrock, Anthropic, Google Gemini, … |
| Requires API keys | No | Yes |
| Plugin surface | — | plugins |
| Provenance drift | Unknown | 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 →