Registry › Compare › Instructor vs LiteLLM

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.

C Instructor 63.5

structured outputs for llms

567-labs/instructor · #570 overall · #8 LLM Gateways & Infra · coverage A (4/5)

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

B LiteLLM 78.1

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]

BerriAI/litellm · #208 overall · #4 LLM Gateways & Infra · coverage A (4/5)

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

8.4
Safety / IntegrityLiteLLM +4.0
12.4
13.3
TransparencyLiteLLM +0.2
13.5
15.9
MaintenanceLiteLLM +4.1
20.0
18.4
AdoptionLiteLLM +1.6
20.0
-3.3
Runtime calibrationLiteLLM +4.7
+1.4

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
Open in the live compare tool → Instructor profile LiteLLM profile More LLM Gateways & Infra →

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 →