Instructor is the popular Python library for structured LLM outputs: define your schema with Pydantic and it handles function calling / JSON mode and retries, returning validated t It is listed on hedirbase, a curated directory of AI tools, developer resources, and direct-to-consumer brands for the independent workforce.

What category does Instructor belong to?

Instructor is listed under the Developer Tools category on hedirbase.com.

Where can I visit Instructor?

You can visit Instructor at its official website: https://github.com/jxnl/instructor.

Is Instructor open source?

Yes, Instructor is open source. Its source code is available on GitHub: https://github.com/jxnl/instructor.

What are similar tools or brands to Instructor?

Similar listings in the same Developer Tools category include: Hugging Face, GitHub, Comet, Opik. Browse the category page on hedirbase.com for more options.

Developer Tools

Instructor

🇨🇳 中文 / 🇬🇧 English — 双语介绍

🔗 https://github.com/jxnl/instructor

🇨🇳 中文

Instructor 是流行的 Python 结构化输出库：用 Pydantic 模型定义期望结构，自动处理 Function Calling / JSON 模式与重试，让任何大模型返回「开箱即用」的类型化对象。支持 OpenAI、Anthropic、本地模型等数十种后端，是 LLM 应用工程里处理输出可靠性的标配工具。 🔗 GitHub: https://github.com/jxnl/instructor | GitHub Stars: 14k+ | 🔗 文档: https://python.useinstructor.com

🇬🇧 English

Instructor is the popular Python library for structured LLM outputs: define your schema with Pydantic and it handles function calling / JSON mode and retries, returning validated typed objects from any model. Dozens of backends (OpenAI, Anthropic, local models) — the standard tool for output reliability in LLM apps. 🔗 GitHub: https://github.com/jxnl/instructor | GitHub Stars: 14k+ | 🔗 Docs: https://python.useinstructor.com