Getting reliable, validated structured JSON outputs from any LLM
Key Features
Single Agent Streaming Async Support Type Safe Structured Output Self-Hosted
Community Feedback
Strengths
- Best-in-class structured output
- Excellent Pydantic integration
- Simple API
- Multi-provider support
- 3M+ monthly downloads
- Great documentation
Weaknesses
- Not a full agent framework
- Narrow focus on structured outputs
- Repository moved (confusing)
- No orchestration/memory/multi-agent
Instructor Details
| Organization | 567 Labs (Jason Liu) |
| Organization Type | Company |
| Category | SDK |
| Subcategory | Single agent |
| Deployment | SDK/Framework |
| Primary Language | Python |
| Runtime | Python 3.9+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install instructor |
| GitHub Stars | 12,600 |
| GitHub Forks | 977 |
| Release Cadence | Weekly |
| Maturity | Mature |
| Pricing Model | Free |
| Free Tier | Fully open-source MIT |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Large (12.6k stars, 3M+ downloads) |
| Community Activity | Very active |
| Sentiment | Very positive |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google, Ollama, any provider |
| API Keys Required | LLM provider API key |
Use Cases
- Structured data extraction from LLMs
- Validated JSON output generation
- Data parsing and classification
- Reliable multi-provider structured outputs
When to Use
Best for: Reliable structured data extraction from LLMs
Avoid when: Need full agent orchestration, memory, or multi-agent
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a