Comparing
High-level concurrency and networking framework on top of asyncio or Trio
Official Python SDK for the OpenAI API — call GPT-4, DALL-E, Whisper, and Embeddings with a clean async-first interface.
| Metric | anyio | openai |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 0 | 9.0M↑ |
| Latest version | v4.13.0 | v1.54.0 |
| Recipes | 1 | 3↑ |
anyio only
Shared
openai only
Use anyio when writing an async library or framework that you want to be runtime-agnostic. It's also useful in applications that want trio's structured concurrency model but need to interop with asyncio-based libraries like FastAPI or aiohttp.
Integrating GPT-4/3.5 into apps, generating embeddings for semantic search, transcribing audio with Whisper, generating images with DALL-E, or building agentic workflows with tool calling.
For application code that commits to asyncio (e.g. a FastAPI app), using asyncio directly is simpler — there's no need for the compatibility layer. anyio shines at the library level, not the application level.
When you need to run models locally (use ollama or transformers), when cost is a hard constraint for high-volume tasks, or when you need a specific open-source model.
anyio
openai